Finding Strength: Managing Health and Family Doubts

Took a couple of days off this weekend. Back to the grind. The last several days I have been up most of the night and gotten my best sleep in the afternoons. I still sleep like ten hours a day, but most of it is during daylight hours.

I’m back on the Turmeric. I think it’s helping with the bad knees and ankles. I started taking Vitamin B and Vitamin D supplements a couple of weeks ago. I think I have more energy and optimism overall now.

I think I am losing weight. If the way my clothes fit is any indication I really am. Most of my shirts are quite baggy now. Might have to drop down a shirt size. It also looks like I’m carrying less fat on my abdomen. My calves are less swollen than six months ago as are my thighs. I don’t eat much anymore besides protein and vegetables. I try to avoid sugar and carbs.

Got turned down for a long term care facility. I’m not shedding any tears over it. In reality I don’t want to go to long term care. Ideally I would just stay in my current house and just widen all the doors to be wheelchair accessible. My parents aren’t on the same page as I am. They aren’t enthusiastic about making such modifications to the house.

I have come to the conclusion that I don’t want things to be easy. I want to struggle to get my walking ability back. I want people to doubt me. I want to be fought every inch of the way. I want even my own family to actively work against me. They originally doubted I could graduate college with schizophrenia. Proved them wrong. They originally thought I couldn’t live alone with schizophrenia and on disability pension. Proved them wrong for over seventeen years.

Most people thought I made a mistake when I went to long term care to get better. I was flat out told I would die in that facility. Well, eight months later I walked out the front door on my own two feet. I went in that facility on a hospital stretcher. I walked out on my own two feet after only eight months.

I’m facing doubts again. After this third stay in the hospital, I lost all of my mobility. Physical therapy hospital didn’t help at all. Neither did the home therapist. They all gave up on me too soon. Sure, it took a few months. But I am back to walking short distances within the same room. I can transfer into the wheelchair. It is a foldable wheelchair so I can get it through doors. I could already get everywhere in the house if the family would just break down and pay for the modifications.

As far as modifications go, all they would need is to widen all the doors, put a railing in the bathroom, and get some of the clutter out of the house. My parents have a hard time throwing anything away. I swear if I outlive them, I’m going to rent a dumpster and throw tons of Knick knacks and crap in. I refuse to deal with it after they are gone. I won’t live the life of a hoarder. Was forced to do it as a kid. Forced to do it again after being on my own for seventeen years. After my parents are gone or moved to a nursing home, never again.

Oddly I’m not feeling hurt or betrayed by my family not believing in me. In some ways they have never believed in me. I’m going to get mobile again, at least for short distances. I am going to keep losing weight. My goal is to eventually get back to the same weight I was as a freshman in college. I could easily walk three to five miles a day back then.

I might never be able to walk that far again. But, dammit, I refuse to give up. Between being severely bullied by my school mates as a kid, twenty five years of schizophrenia, three years of congestive heart failure, surviving eight months in a long term care facility, moving two states away to be closer to my brother (at least he believes in me), and seeing crazy ass tech advances in terms of AI, automation, biotech, fintech, etc.; I’ve come too far to cash out now. Give up? Not happening as long as I got breath in my lungs.

I don’t know why my parents refuse to make the modifications to the house to make it handicap accessible. Honestly, I don’t care. I’m going to get better and mobile in spite all the road blocks people keep throwing at me. I want to be doubted. I want to be told I am a liar and full of shit. It just makes me more determined to keep beating the odds. Beating the smart money has been the mode of operation for my entire life. Personally, I think the “smart money” ain’t as smart as it’s cracked up to be. I just keep proving them wrong because that’s what I’ve done my entire life.

Overcoming Mobility Challenges: My Journey to Independence

STILL haven’t heard anything from my possible new place. I’m giving up on that. I’ve pretty much come to the conclusion that I’m going to be living with my parents for the rest of my life. I’m tired of pretending that things are going to change in that regards.

There are worse things than living in the suburbs. It’s a safe neighborhood. I can get any restaurant within reason Door Dashed to my house. I get two day delivery on almost anything on Amazon. There isn’t much for homelessness near my house. And I live only a fifteen minute drive from my brother and his wife.

As I’m getting used to the fact that there won’t be a place coming open for me, I have decided to make the best of it. Mobility is slowly coming back. I can easily transfer from recliner to bed to wheelchair with only a little pain in my ankles. My knee pain has been completely solved. They don’t even pop and crack anymore. I’m so thankful for Turmeric.

Now that I can freely get back into a wheel chair, I’m on to my next project. That is moving about the house. The only real hang up in this house is the narrow doors. The hallways are wide enough for wheelchairs but not the doors. If anything happens to my parents where they have to move to a home and I get left behind, I’m so going to have to move my hospital bed and recliner into the living room. That’s been my plan all along. I just didn’t think that I would have to utilize it.

Finally got out under the overpayments I was paying back to social security. Looks like the timing was good. Sounds like the whole system has become a dumpster fire. While I’m all in favor of cutting government waste, I totally accept that the transition to a more efficient system is going to be tough and take years perhaps. I do have some money out of the system just in case of things like this. In social security’s case, it sounds like a modern day run on the bank.

My next goal as for my mobility is to stand up long enough to fold up my wheelchair and get it through a door. That will open up the entire house and the back yard to me. If I keep getting the run around from social services, I’m going to need to make myself as mobile as I can.

The only reason I was needing a place was because of the wheelchair, not because I am senile. I remember to take my pills daily. I can clean myself, at least with sponge baths and dry shampoo. Maybe that is why I can’t get a place. Because I’m still quite mentally sharp I’m not a high priority.

In some ways I’m glad I keep getting rejected for these places. Five months ago my ankles and knees were so bad I couldn’t even stand up on my own. I needed an ambulance crew to set me up in my own house. Spent from early October to early January learning to stand up again.

I can stand up again. Now I can walk real short distances. I’m working on cutting down the pain in my ankles. In the five plus months I have spent teaching myself how to stand and walk again, I haven’t fallen even once. And I have done it all without any help from anyone.

I had physical therapy come in back in October. But they gave up on me after 30 days because I wasn’t making “adequate progress.” As it is now, I don’t think I really need physical therapy. What I do need is wheelchair accessible doors and bathrooms. Not sure I can get that done in this house. I’m pretty sure my family could afford it if I really put the screws to my parents. Sometimes playing hardball and being a hard ass has to be done to get a point across. I swear some people are so oblivious.

In spite of my hurdles and set backs, I’m making decent progress in learning how to walk again. And I am doing it in spite of the roadblocks and hijinks and run around of social services. If anything, I enjoy the hardships.

I enjoy being told what I can and cannot do. That way I can rub it in people’s arrogant faces when I end up proving them wrong. People didn’t think I could graduate college with schizophrenia. I proved them wrong. People didn’t think I could hold a job with mental illness. I held a janitorial job for over four years. People didn’t think I could live on my own with schizophrenia. Proved them wrong for seventeen years without being even late on a rent payment. People didn’t think I could survive and recover from congestive heart failure. Definitely proved them wrong on that. People now think I’ll never walk again. That’s my next mission to prove people wrong.

Challenges in Securing Long-Term Care in Oklahoma

Rumor had it that a long term care facility an hour from the metroplex was already to accept me with open arms. That was over a week ago. Haven’t heard anything since. Getting into a care facility is proving to be impossible here in Oklahoma.

A few weeks ago Adult Protective Services were called on my behalf. My house isn’t handicap accessible and I need wheelchair accessible housing. I can transfer from a recliner or wheelchair to a hospital bed, but I still have pain in my ankles every time I walk. I can transfer but it is painful.

After APS was called on my behalf, I was sure I would get a placement within a couple of weeks. Normally they don’t get involved unless a situation is dire and beyond redemption. Well, both are the case in my situation.

I doubt my house can be made wheelchair accessible. Even if it could, I couldn’t afford even property taxes on this place after my parents are gone.

I’m just tired of the run around. I’ve had more problems with social security, Medicaid, healthcare, social services, hospitals, case workers, etc. in the two years I’ve lived in Oklahoma than my last seventeen years in Nebraska. Apparently, service quality varies greatly from state to state.

I’m to where I’m at my wit’s end. I’m tired of fighting and getting zero for results. I’ve grown hopeless and despondent. I sleep twelve hours a day to numb the pain. I’ve told off my parents a few times in the last several weeks because of frustration. I’m becoming something I don’t like. In short, I’m becoming the whining and bitter old man I promised myself I would never become.

I just want a permanent placing in a nursing home to where I can have wheelchair access and my day-to-day medical care provided. Apparently in the richest country in the history of the world that isn’t an option.

More Mobile, Losing Weight, Spring Storms, and New Books by Zach Foster

Updates are in order. I can now transfer from my recliner to the bed to the wheelchair on a daily basis. I no longer have knee pain, but I do have some ankle pain. I have to stand up and sit down a few times over the span of several minutes before I can easily get rolling, especially if I have been laying down all night in bed.

In short, the knee pain that has been the bane of my existence for the past seven years is gone. Now I have to work on my ankle strength. To this end I’m starting an exercise routine I learned from a physical therapist to rebuild my ankles.

I haven’t weighed myself for a few months, but I think I’ve lost weight. I’m carrying less fat, especially around my stomach and thighs. My arms no longer jiggle. My shirts fit a lot better. The swelling in my crotch has gone down considerably. I know my apatite is smaller than it used to be.

One of the reasons for the fat loss in spite of the little physical activity, is for the strict diet I have. I limit when I eat and how much I eat. I still occasionally eat pizza, burgers, and friend fish. But I have cut back on portions. I large pizza can make at minimum two meals for me, more often three. I do like Long John Silver’s for their fish and corn balls. But it’s only a once-a-month tradition when my dad brings it home after he visits his doctor at the VA.

The weather is warming up and definitely feels like spring. We are having wildfires here in Oklahoma. Won’t be too long before we have thunderstorms and tornadoes every few days. The storms down here are really bad, especially the spring storms. Winter storms are more bearable even if they bring more ice than what I’m used to growing up in Nebraska. Whatever snow and ice we get in Oklahoma is gone within a couple of days. But 500 miles north in Nebraska, the snow can stay around all winter and it’s usually too cold for just rain turning to ice most of the times. Snowstorms dumping over a foot of snow are an annual occurrence back in Nebraska.

I recently uploaded an e-book to Amazon in addition to the Hillbilly Scholar one I already have. It’s called Blasting Mental Illness Myths by Zach Foster. It’s not up just yet as I loaded it only a few days ago.

This is the link to the Hillbilly Scholar e-book

https://www.amazon.com/Wisdom-Hillbilly-Scholar-Zach-Foster-ebook/dp/B005ESFWNI/ref=sr_1_1?crid=3BR1YVX065QOH&dib=eyJ2IjoiMSJ9.uACjiqLKg7iYywHEerIRWw.oEkfijpANSjGwxPnP5W80vUEWYv8vkD3FHYTL6VTGsg&dib_tag=se&keywords=wisdom+of+a+hillbilly+scholar&qid=1742162715&sprefix=%2Caps%2C94&sr=8-1

The Impact of Change: Christmas Musings on Life and Health

I’m having a good Christmas season so far. Got to talk with some old friends over the phone for over an hour today. She found a new job a few weeks ago that pays more than any job she ever had. Her husband (also a friend of mine) is still working 60+ hours a week as a delivery driver. They think he will try to find something in academics soon now that they aren’t living paycheck to paycheck anymore.

Our conversation covered mostly history and geopolitics. I don’t have many friends I can talk about those things with anymore. Most of my friends are having tough times with mid life crisis kind of things. I miss those conversations about history and current events. It was like being back in college, if just for only one hour.

I sleep most of the daylight hours anymore. I think part of it is depression and part of it is anemia. I’m not looking forward to probably having to go back to a long term care facility. But my mobility isn’t coming back and my house isn’t handicap accessible. My parents aren’t in good health and probably have only a few years, at best, left. Part of me all three of us won’t make it to see 2030.

It really breaks my heart to be in decline just right as things are really changing science and tech wise. I am convinced that we as a society will make more scientific progress in the next 20 years than we made in the previous 300. That is, if the politicians and voters quit screwing up.

Reflections on My Recent Hospital Nightmare

For the official record, I didn’t give up on my writing. I just took a much overdue vacation.

With that out of the way, I feel the need to update my appreciated readers on what I’ve been up to in the last several weeks since I last posted.

In early September, my parents had to call an ambulance on my behalf to take me to the hospital as I was having problems breathing. At first the doctors thought I had pneumonia, but even ten days of anti-biotics didn’t do anything other than screw up my stomach and bowel movements.

With the anti-biotics not working, one of the doctors had the gall to suggest that I might have early stages leukemia. This was in spite not having extremely elevated white blood cell counts or even so much as a fever.

In short, I spent ten days in the hospital on bedrest and the hospital didn’t even figure out what was wrong with me. I am now a believer in medical misdiagnoses being a very serious problem in modern medicine.

It turns out it was merely a virus infection in my lungs. I was also having problems with retaining water due to my congestive heart failure. My swelling took place mostly in my crotch and hips. The swelling was bad enough I couldn’t wear pants the whole time I was in the hospital.

I was put on diuretics, and I must have lost over one hundred pounds of fluids when I was in the hospital. Since I was on bedrest and having serious pain in my knees from my being forcefully taken off my three times a day Tylenol routine, I had to call a nurse every time I needed to urinate.

This annoyed some of the nurses. Sometimes they didn’t get to me in time, and I ended up peeing my hospital bed. Yeah, I’m a 44-year-old man talking about wetting the bed. Major blow to my pride and ego I tell you.

After my ten days in the hospital for my not pneumonia, I was sent to physical rehab for two weeks. My God in Heaven, that was an experience.

For starters, I wasn’t able to do much of rehab because my knees were hurting so bad I couldn’t even stand for more than ten seconds at a time. I was taken off my three times a day Tylenol regiment that had worked extremely well for almost two years while in the hospital.

Due to the forced bedrest, lack of a walker or a walking cane, I couldn’t walk the whole two weeks I was at physical rehab. After being back home for a couple of weeks, I can walk in my office with a walker. I still can’t walk well enough to get to the bathroom on my own. I feel so ashamed.

I feel like I spent three weeks in the hospital, most of it probably needlessly. I did get a new c-pap machine and got off a couple blood pressure meds.

I now take only two blood pressure meds and a couple meds for congestive heart failure. Half of the time my blood pressure is still too low, I’m talking like 110 over 55. But at least I’m not in the hospital anymore. September was a damn nightmare.

AI and Psychopharmacology

The Current Challenges in Psychopharmacology

Developing new psychiatric medications involves several challenges. Traditional methods are time-consuming and expensive, often taking over a decade and billions of dollars to bring a new drug to market. The high failure rate in clinical trials further complicates the process, with many potential drugs failing due to inefficacy or adverse side effects. Additionally, the complex and heterogeneous nature of mental health disorders means that understanding the underlying biological mechanisms and identifying suitable drug targets are inherently difficult tasks.

AI’s Potential Contributions

Drug Discovery and Design

AI can significantly streamline the initial stages of drug discovery. Machine learning algorithms can analyze extensive datasets, including genetic information, biochemical pathways, and clinical trial results, to identify potential drug candidates. For instance, deep learning models can predict the binding affinity of small molecules to specific receptors in the brain, thus identifying promising compounds for further testing. By leveraging AI, researchers can quickly sift through vast chemical libraries and simulate interactions, significantly reducing the time and cost involved in traditional drug discovery methods.

Understanding Biological Mechanisms

Mental health disorders often involve complex interactions between genetic, environmental, and neurobiological factors. AI can help unravel these complexities by integrating and analyzing diverse datasets. For example, machine learning algorithms can analyze genomic, transcriptomic, and proteomic data to identify biomarkers associated with specific psychiatric conditions. This can lead to a better understanding of disease mechanisms and the identification of novel therapeutic targets. Additionally, AI can aid in the development of personalized medicine approaches, tailoring treatments based on an individual’s unique genetic and biological profile.

Predicting Treatment Response

One of the significant challenges in psychopharmacology is the variability in treatment response among patients. AI can address this issue by developing predictive models that identify which patients are likely to respond to a particular medication. These models can analyze data from electronic health records, including demographic information, clinical history, and genetic data, to predict treatment outcomes. Such personalized treatment strategies can improve efficacy, reduce trial-and-error prescribing, and minimize adverse effects, ultimately leading to better patient outcomes.

Optimizing Clinical Trials

AI can also revolutionize the clinical trial process by improving patient recruitment, optimizing study design, and enhancing data analysis. Machine learning algorithms can identify suitable candidates for clinical trials by analyzing electronic health records and other patient data, ensuring a more targeted and efficient recruitment process. Furthermore, AI can assist in designing adaptive clinical trials that modify parameters in real-time based on interim results, potentially speeding up the process and increasing the likelihood of success. AI-driven data analysis can also provide deeper insights into trial outcomes, identifying subtle patterns and correlations that might be missed by traditional statistical methods.

Case Studies and Examples

Several initiatives and studies already demonstrate the potential of AI in psychopharmacology. For instance, Insilico Medicine, a biotechnology company, uses AI-driven platforms to accelerate drug discovery and development. Their AI algorithms analyze vast amounts of biological data to identify novel drug candidates and predict their efficacy and safety. In one notable example, Insilico Medicine used AI to identify a new drug candidate for a chronic obstructive pulmonary disease in just 46 days, highlighting the potential for rapid drug discovery.

In the realm of mental health, AI has been used to analyze brain imaging data to identify biomarkers associated with depression and other psychiatric disorders. For example, researchers at Stanford University used machine learning algorithms to analyze functional magnetic resonance imaging (fMRI) data, identifying brain activity patterns that predict treatment response to antidepressants. Such studies underscore the potential of AI to provide deeper insights into the neurobiological underpinnings of mental health disorders and guide the development of more effective treatments.

Ethical and Practical Considerations

While the potential of AI in psychopharmacology is immense, several ethical and practical considerations must be addressed. Data privacy and security

are paramount concerns, given the sensitive nature of medical and genetic information. Ensuring that patient data is anonymized and securely stored is essential to prevent misuse and maintain trust in AI-driven research.

Additionally, the algorithms and models developed using AI must be transparent and interpretable. Black-box models, where the decision-making process is not easily understood, can lead to skepticism and resistance from both clinicians and patients. Researchers and developers must prioritize the creation of explainable AI systems that provide clear rationale for their predictions and recommendations.

There is also the risk of bias in AI models. If the training data used to develop these models is not representative of the broader population, the resulting predictions and insights may be biased, potentially leading to disparities in treatment effectiveness across different demographic groups. Ensuring diversity and inclusivity in training datasets is crucial to mitigate this risk.

Future Directions and Opportunities

The next five years present numerous opportunities for AI to further transform psychopharmacology. As AI technologies continue to evolve, several promising directions could enhance their impact on mental health medication development.

Integration of Multimodal Data

Combining different types of data, such as genetic, epigenetic, proteomic, imaging, and clinical data, can provide a more comprehensive understanding of psychiatric disorders. AI can facilitate the integration and analysis of these multimodal datasets, uncovering complex interactions and identifying novel drug targets.

Collaborative Research Platforms

Creating collaborative platforms where researchers, clinicians, and AI experts can share data and insights can accelerate progress in psychopharmacology. Initiatives like the UK Biobank, which provides access to a vast repository of genetic and health data, can be leveraged by AI researchers to advance the development of new treatments. Collaborative efforts can also help standardize data collection and analysis methods, improving the reliability and reproducibility of AI-driven research.

AI-Driven Repurposing of Existing Drugs

Drug repurposing, where existing medications are used to treat new conditions, is an area where AI can make significant contributions. By analyzing existing data on approved drugs, AI algorithms can identify new therapeutic uses for these medications, potentially providing faster and more cost-effective treatment options for psychiatric disorders. This approach has already shown promise in identifying potential treatments for COVID-19 and other diseases.

Patient Monitoring and Real-Time Feedback

AI can also play a role in the ongoing monitoring of patients receiving psychiatric medications. Wearable devices and mobile health applications can collect real-time data on patients’ symptoms, medication adherence, and side effects. AI algorithms can analyze this data to provide clinicians with timely feedback, allowing for more dynamic and personalized treatment adjustments. This continuous monitoring can enhance the effectiveness of treatments and improve patient outcomes.

Conclusion

The potential for AI to revolutionize the development of new psychiatric medications within the next five years is substantial. By accelerating drug discovery, improving our understanding of biological mechanisms, predicting treatment responses, and optimizing clinical trials, AI offers a powerful toolset for addressing the complex challenges in psychopharmacology.

However, realizing this potential requires careful consideration of ethical and practical challenges, including data privacy, model transparency, and bias mitigation. By fostering collaborative research efforts and integrating diverse datasets, the field can harness the full power of AI to develop more effective and personalized treatments for mental health disorders.

As AI continues to advance, its role in psychopharmacology is likely to expand, offering hope for more rapid and effective solutions to some of the most pressing mental health challenges. The next five years may indeed see significant breakthroughs, driven by the synergy of AI and psychopharmacology, ultimately improving the lives of millions of individuals suffering from psychiatric disorders.

Possible Uses for AI and Mental Illness Treatments

Artificial Intelligence (AI) is revolutionizing numerous fields, and mental health care is no exception. The application of AI in mental health treatment is an emerging frontier that holds promise for significantly enhancing the way mental illnesses are diagnosed, treated, and managed. AI-driven approaches offer innovative solutions that can lead to personalized, efficient, and accessible mental health care. This essay explores the potential treatments for mental illness made possible by AI research, focusing on diagnostic tools, personalized treatment plans, therapeutic interventions, and ongoing monitoring and support.

Diagnostic Tools

One of the most promising applications of AI in mental health is in the realm of diagnosis. Traditionally, diagnosing mental illnesses relies heavily on subjective assessments and self-reported symptoms, which can be influenced by various biases and may not always be accurate. AI can enhance diagnostic accuracy by analyzing vast amounts of data from various sources, including electronic health records, genetic information, and even social media activity.

Machine learning algorithms can identify patterns and correlations that may not be evident to human clinicians. For example, AI can analyze speech patterns, facial expressions, and other behavioral indicators to detect signs of depression, anxiety, or other mental health conditions. Natural language processing (NLP) techniques can be used to assess the content and sentiment of patients’ spoken or written communication, providing additional insights into their mental state. These AI-driven diagnostic tools can serve as early warning systems, flagging potential issues before they become severe and facilitating timely intervention.

Personalized Treatment Plans

AI has the potential to revolutionize the development of personalized treatment plans for individuals with mental health conditions. By leveraging data from diverse sources, including patient history, genetic information, and real-time monitoring data, AI can help tailor treatments to the specific needs and characteristics of each patient.

Machine learning models can predict how patients might respond to different treatments based on their unique profiles. This can include pharmacological treatments, such as selecting the most effective medication with the fewest side effects, as well as non-pharmacological interventions like cognitive-behavioral therapy (CBT) or mindfulness practices. AI can also optimize treatment plans by continuously learning from patient outcomes and adjusting recommendations accordingly. This dynamic, data-driven approach can enhance the efficacy of treatments and reduce the trial-and-error process often associated with mental health care.

Therapeutic Interventions

AI-driven therapeutic interventions are another exciting development in the treatment of mental illnesses. Chatbots and virtual therapists, powered by AI, can provide immediate support and therapeutic guidance to individuals in need. These AI-based systems can engage in conversations with patients, offering cognitive-behavioral therapy techniques, stress reduction strategies, and other therapeutic interventions.

For instance, AI chatbots like Woebot and Wysa use NLP to interact with users, providing them with evidence-based techniques to manage symptoms of depression and anxiety. These tools can be especially beneficial for individuals who may not have easy access to traditional therapy due to geographic, financial, or time constraints. While AI-driven interventions are not a replacement for human therapists, they can serve as a valuable supplement, providing support between sessions and reaching underserved populations.

Ongoing Monitoring and Support

AI can also play a crucial role in the ongoing monitoring and support of individuals with mental health conditions. Wearable devices and mobile applications equipped with AI algorithms can continuously track physiological and behavioral data, such as sleep patterns, physical activity, heart rate, and social interactions. By analyzing this data, AI can detect early signs of relapse or deterioration in mental health and alert patients and their caregivers to take proactive measures.

Moreover, AI can facilitate continuous communication between patients and healthcare providers. For example, digital platforms can enable patients to log their symptoms, medication adherence, and mood changes, providing clinicians with real-time data to make informed decisions about treatment adjustments. This continuous feedback loop can enhance patient engagement, improve treatment adherence, and ultimately lead to better mental health outcomes.

Ethical and Practical Considerations

While the potential of AI in mental health care is immense, it is essential to address ethical and practical considerations. Privacy and data security are paramount, given the sensitive nature of mental health information. Ensuring that AI systems are transparent, explainable, and free from biases is also crucial to maintain trust and efficacy.

Furthermore, the integration of AI into mental health care should be done in a way that complements, rather than replaces, human clinicians. The human touch remains indispensable in providing empathy, understanding, and personalized care that AI cannot fully replicate.

Conclusion

AI research holds the promise of transforming the treatment of mental illnesses, offering innovative solutions for diagnosis, personalized treatment, therapeutic interventions, and ongoing monitoring. By harnessing the power of AI, mental health care can become more accurate, efficient, and accessible, ultimately improving the lives of individuals struggling with mental health conditions. However, careful consideration of ethical and practical issues is necessary to ensure that these advancements are implemented in a responsible and beneficial manner. As AI continues to evolve, it will be exciting to see how it can further contribute to the field of mental health, providing hope and healing to millions around the world.

Updates, March 1, 2024

Here in Oklahoma, it’s starting to look and feel like spring. Spring is probably my favorite season. Ironically, I usually hate summers. I never did well in the heat, at least when I can’t be under a fan or an AC. I’m more heat sensitive than most people. It’s one of the reasons I didn’t commit to move to Oklahoma until a year ago.

Mentally, I’m still very stable. I think it helps that I avoid stressful people and overstimulating as much as possible. I don’t even like driving or people knocking on my office door. I haven’t owned a car for almost five years now. And I feel far less stress because of it. To hell with being forced to own a car. Pity grocery delivery wasn’t a thing ten years sooner.

Physically I’m doing much better. The only times I have bad joint pain are if I sit for several hours, sleep too long, or the weather is really changing. I still take the turmeric for my joints. Take hemp oil too. Still slowly rebuilding my heart strength.

My writings here on Medium are doing alright. Good enough to keep me some good side hustle money. But not good enough to get me kicked off social security disability. It’s a pity that universal health care will probably never be a thing here in the US.

My water retention swelling has gone down a lot. Granted it took two months on lasix, but that did the trick. I retain fluids sometimes due to my congestive heart failure. So I have to limit how much water I drink every day.

I’m also eating less. The last two times I ordered a pizza, I was able to get three meals out of it. Usually get only two. I just don’t need to eat as much anymore. Overeating actually is painful to me now.

Don’t know if I’m losing weight, but I know my clothes fit a lot better than they did six months ago. I gained some weight in the first few months here in Oklahoma. After that, I changed my diet.

Found out I tend to eat more when I am cooking for myself. If someone else cooks, I almost never ask for seconds. It may seem odd for a man who’s been on his own for over 18 years as a bachelor to defer cooking duties to his parents. But I do eat less, and my clothes fit better since I changed my habits.

Now that winter is almost over, I’m finding I have strong desires to socialize more. I spent much of the winter indoors, writing, reading, researching, doing my hobbies, etc. Now I’m ready to reconnect in person.

My investment picks are doing well. I might have to sell some off soon so as to not draw the ire of social security disability. They get kind of mad when people on disability have any real kind of savings. Really sucks that I find something I’m good at and then can’t really make a living off it because, well, the cost of insurance and meds. And I refuse to get married, not that I ever was marriage material in the first damn place. Aye, so much hate.

Been following develops in AI and automation for over ten years. Been following it real close for the last two years from when I first heard of ChatGPT. I don’t think most people realize just how good AI and automation is getting. And almost no one has any real clue how good it’s going to get. This is even before Quantum Computing becomes readily available. I’m convinced Quantum Computing will be as big as AI is now within 10 years, probably sooner.

In spite of all the doom porn and sky is falling type bullshit flying around out there, I’m glad to be alive and relatively young at our current point in history. As rapid as things have changed in the last 25 years, the next 10 years will see even more change. I feel privileged to have survived congestive heart failure to see it.

I didn’t give up during heart failure even though for a while I was in so much pain I couldn’t even get out of a hospital bed on my own. They literally had to use a lift to get me from the bed to the wheelchair for the first two weeks of my treatment. But I survived.

I didn’t want to die that way. Had too much I wanted to see before I finally do shuffle off into the Great Unknown that is death. That was two years ago this May. I like what I’ve seen just in these two years. I guess it’s all material for writing at this point.

Making Rapid Progress On Physical Health and Answered Prayers

I am now down 70 pounds overall in the last six months. I’m not even 10 pounds away from losing all the weight I gained after my car accident back in 2015. I am currently wearing a dress shirt I wore to my grandma’s funeral seven years ago. I can also now stand in place for several minutes at a time. I ordered an electric razor so I can shave my own face. It should be here by next week. My blood pressure has been holding normal for weeks now. I am currently on four meds for my heart and blood pressure. I used to be on six. I think as I keep losing weight I may be able to drop a blood pressure med or two. Heck I might even be able to reduce my dose of psych meds if the weight keeps melting off. Overall since covid started, I’m down almost 150 pounds.

Originally my goal was to get back at my old 2012 weight. 2012 is the last time I held a regular job and I could walk easily. Now I am aiming lower, so to speak. My goal now is to get back to my old college weight. It’s going to take at least another year, but time is on my side now that my blood pressure issues are being addressed. It also helps that effective vaccines and treatments for covid are now things. One of the reasons I avoided doctors and most people was that I was afraid of catching covid if I went to the doctors’ office for my blood pressure. I know most people’s attitudes towards masks and distancing in my hometown: not good at all. So I pretty much treated covid as drastic as I would being at war. As I result I lost 150 pounds, never caught covid, found out I could function with delivery groceries and Amazon, reread Wealth of Nations (the Bible of capitalism), kept in contact with family every day, built up a decent amount of emergency money (not enough to get me in trouble with disability), and even got to blog more. I also discovered the joys of Zoom calls.

I can now walk short distances even without a walker. My wheelchair has been on back order for almost three months. Wouldn’t it be ironic if by the time my wheelchair got delivered I didn’t even need it anymore?

My goal is to still get out on my own eventually. I think at the rate my physical health is improving I can be back at my old college weight within a year or two. Sheesh, even in two years I could be below my old high school weight. The protocol my doctor set up for my diet and therapy is working. Oh my goodness is it working. I just hope nothing throws a wrench in my plans. Things have been working so magically well for the last few months that I can’t even believe it. I have been used to things not working according to plan for many years. Maybe God is answering prayers.