Wednesday, June 18, 2025

Cichlid: KP & clinical trials How many clinical trials has Kaiser Permanente in 8 US states been part of? 805 ... https://g.co/gemini/share/761b2d661c10 and could WUaS with KP do some clinical trials on aging reversal and extreme longevity genetic drug therapies when they're to that stage & re #YogaGenetics, eg higher, faster, stronger, more supple - http://www.scottmacleod.com/yoganotations.html - especially? * How best to dev #RandomizedClinicalTrials w #MLandAIWUaS & #LLMs @WorldUnivAndSch with #KPclinicalTrials in 8 US states & is in 805 https://g.co/gemini/share/761b2d661c10 & re #AgingReversal & #ExtremeLongevity #GeneDrugTherapies when at that stage & re #YogaGenetics -http://www.scottmacleod.com/yoganotations.html ? * How will a #RealisticVirtualEarthForClinicalTrials in 1 iterating #RealisticVirtualEarth help potentially speed up #ClinicalTrials w #MLandAIWUaS & #LLMs @WorldUnivAndSch w #KPclinicalTrials in 8 US states - & in all ~200 countries & in main languages, & with #PacketsInTheMail ?

 



Clinical Trials with ML and AI LLMs at WUaS with KP ?


How best to dev #RandomizedClinicalTrials w #MLandAIWUaS & #LLMs @WorldUnivAndSch with #KPclinicalTrials in 8 US states & is in 805 https://g.co/gemini/share/761b2d661c10 & re #AgingReversal & #ExtremeLongevity #GeneDrugTherapies when at that stage & re #YogaGenetics -http://www.scottmacleod.com/yoganotations.html ?






How will a #RealisticVirtualEarthForClinicalTrials in 1 iterating #RealisticVirtualEarth help potentially speed up #ClinicalTrials w #MLandAIWUaS & #LLMs @WorldUnivAndSch w #KPclinicalTrials in 8 US states - & in all ~200 countries & in main languages, & with #PacketsInTheMail ?

https://x.com/WorldUnivAndSch/status/1935497369262637165

https://x.com/scottmacleod/status/1935497742215954600

https://x.com/sgkmacleod/status/1935498021623710086

https://x.com/HarbinBook/status/1935499332805148716

https://x.com/Q_YogaMacFlower/status/1935497595524366631

https://x.com/TheOpenBand/status/1935499122397823062

https://x.com/WUaSPress/status/1935498469512462742




How best to develop 
Clinical Trials with ML and AI LLMs at WUaS with KP ?


KP & clinical trials

How many clinical trials has Kaiser Permanente in 8 US states been part of?
805 ...  

and could WUaS with KP do some clinical trials on aging reversal and extreme longevity genetic drug therapies when they're to that stage & re #YogaGenetics, eg higher, faster, stronger, more supple - http://www.scottmacleod.com/yoganotations.html - especially? 




AND SEE - 

Clinical_Trials_at_WUaS_(for_all_languages) -








See, too - 






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searched on -  
clinical trials with machine learning and ai 

AI and machine learning are revolutionizing clinical trials by optimizing various stages, from design and recruitment to data analysis and patient monitoring. AI-powered tools can accelerate the process, reduce costs, and potentially improve patient outcomes by leveraging large datasets, predictive analytics, and automation. 
Here's how AI and ML are transforming clinical trials:
1. Streamlining Trial Design and Optimization:
  • AI algorithms can analyze vast amounts of data to optimize trial protocols, including patient selection criteria, treatment plans, and data collection methods, leading to more efficient and effective trials. 
  • Machine learning models can simulate trial outcomes, helping researchers identify the most promising protocols and potentially predict patient responses. 
  • AI enables adaptive trial designs that can adjust protocols in real-time based on interim results, allowing for more flexible and efficient trials. 
2. Enhancing Patient Recruitment and Retention:
  • AI algorithms can quickly match patients with suitable trials based on their medical history and characteristics, speeding up recruitment and improving the diversity of trial populations. 
  • AI can predict potential patient dropouts, allowing researchers to intervene and improve patient retention. 
  • AI-powered tools can provide personalized support and communication to patients, potentially boosting engagement and adherence to trial protocols. 
3. Improving Data Management and Analysis:
  • AI can automate data analysis, identify patterns and correlations in large datasets, and generate insights that might be missed by traditional methods. 
  • Wearable devices and sensors, combined with AI, can enable real-time monitoring of patient data, allowing for early detection of adverse events and timely interventions. 
  • AI can automate the generation of clinical trial reports, reducing manual effort and accelerating the reporting process. 
4. Potential Benefits and Challenges:
  • Benefits:
    Increased efficiency, reduced costs, improved data analysis, better patient outcomes, faster drug development, and more informed decision-making. 
  • Challenges:
    Technical hurdles, ethical considerations, regulatory uncertainties, and the need for establishing rigorous data management and security protocols. 
5. Examples:
In conclusion, AI and ML are transforming clinical trials by enhancing efficiency, improving data analysis, and potentially leading to better patient outcomes. While challenges remain, the potential benefits of integrating AI into clinical research are significant, paving the way for faster and more effective drug development


--


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aging reversal genetic drug therapies in clinical trials ...





Several promising genetic and drug therapies aimed at reversing or slowing aging are currently in clinical trials. These therapies target various aspects of aging, including epigenetic changes, cellular senescence, and molecular pathways related to aging. Some approaches involve gene therapy to restore youthful cellular function, while others focus on small molecule drugs that can reprogram cells or modulate specific biological pathways. 
Key Approaches and Therapies in Clinical Trials:
  • This approach aims to reverse age-related epigenetic changes, which are modifications to DNA that affect gene expression without altering the underlying DNA sequence. Clinical trials are exploring the use of Yamanaka factors (or a subset) to partially reprogram cells to a younger state, with promising results in preclinical models according to ScienceDirect.com and the National Institutes of Health (NIH). 
  • These drugs target and eliminate senescent cells, which accumulate with age and contribute to inflammation and tissue dysfunction. Senolytics like ABT-263 have shown promise in accelerating wound healing and potentially treating age-related diseases according to SciTechDaily. 
  • NAD+ levels decline with age, and supplementation with NAD+ precursors like nicotinamide riboside (NR) and nicotinamide mononucleotide (NMN) has shown potential in preclinical models to improve cellular function and healthspan. Some clinical trials are exploring the use of these compounds in humans. 
  • mTOR is a protein kinase involved in cell growth and metabolism. Inhibition of mTOR with drugs like rapamycin has shown life-extending effects in animal models, and some clinical trials are investigating its potential in humans. 
  • Telomeres shorten with age, and this shortening is linked to cellular senescence and aging. Some therapies aim to activate telomerase, the enzyme that lengthens telomeres, to potentially reverse age-related changes. 
Clinical Trials and Research:
  • Harvard Medical School:
    Researchers are developing a chemical approach to reverse aging by reprogramming cells to a younger state, previously only achievable with gene therapy according to News-Medical. 
  • MD Anderson Cancer Center:
    A study identified a molecule that reduces age-related inflammation and improves brain and muscle function in preclinical models, with potential implications for age-related diseases. 
  • The Targeting Aging with Metformin (TAME) trial is a large, long-term clinical trial aiming to evaluate the impact of metformin, a drug used to treat diabetes, on healthspan in older adults according to the American Federation for Aging Research. 
  • Clinical trials are exploring the use of mesenchymal stem cells for conditions like physical frailty and facial skin aging. 
  • Clinical trials are also investigating the use of various other therapies, including senolytics, NAD+ precursors, and mTOR inhibitors. 
Challenges and Future Directions:
  • Safety and Efficacy:
    Ensuring the safety and efficacy of these therapies in humans is crucial.
  • Target Specificity:
    Precisely targeting the right cells and pathways is essential to avoid unwanted side effects.
  • Combination Therapies:
    It's possible that a combination of different therapies will be needed to achieve optimal results.
  • Personalized Medicine:
    Tailoring therapies to individual needs and characteristics may be necessary. 
Overall:
The field of aging reversal through genetic and drug therapies is rapidly advancing, with promising preclinical results and ongoing clinical trial















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