artificial intelligence

(copied from: https://forums.phoenixrising.me/threads/me-cfs-research-chatbot.93488/ ) Introducing the ME/CFS Research Chatbot! It's meant to provide a reliable, accurate, and up-to-date summary of published research for the general public. While general LLMs like ChatGPT and Claude might...

Automation of Systematic Reviews with Large Language Models https://www.medrxiv.org/content/10.1101/2025.06.13.25329541v1 Abstract Systematic reviews (SRs) inform evidence-based decision making. Yet, they take over a year to complete, are prone to human error, and face challenges with...

AI-based decoding of long covid cognitive impairments in mice using automated behavioral system and comparative transcriptomic analysis Heba M Amer; Mohamed M Shamseldin; Sarah Faber; Mostafa Eltobgy; Amy Webb; Rabab El-Mergawy; Michelle Chamblee; Richard Perez; Owen Whitham; Asmaa Badr; Gauruv...

Dear All, I would like to provide details about the existence of a new reasoning framework, available for ME/CFS research. In this post I will give a brief description and a post will follow with the hypotheses that have been generated. This framework uses a number of Large Language Models...

How to read a paper involving artificial intelligence (AI) Paul Dijkstra, Trisha Greenhalgh, Yosra Magdi Mekki, Jessica Morley Abstract This paper guides readers through the critical appraisal of a paper that includes the use of artificial intelligence (AI) in clinical settings for healthcare...

A good example of an AI platform that is obviously tuned and biased towards a cherry-picked editorial viewpoint of ME/CFS. I'm not sure where to place this, I went with the fact that it seems built by Mayo. The platform is marketed as "the leading medical information platform". Which is...

A generalist medical language model for disease diagnosis assistance Liu, Xiaohong; Liu, Hao; Yang, Guoxing; Jiang, Zeyu; Cui, Shuguang; Zhang, Zhaoze; Wang, Huan; Tao, Liyuan; Sun, Yongchang; Song, Zhu; Hong, Tianpei; Yang, Jin; Gao, Tianrun; Zhang, Jiangjiang; Li, Xiaohu; Zhang, Jing; Sang...

Sequence modeling and design from molecular to genome scale with Evo Eric Nguyen; Michael Poli; Matthew G. Durrant; Brian Kang; Dhruva Katrekar; David B. Li; Liam J. Bartie; Armin W. Thomas; Samuel H. King; Garyk Brixi; Jeremy Sullivan; Madelena Y. Ng; Ashley Lewis; Aaron Lou; Stefano Ermon...

https://www.biorxiv.org/content/10.1101/2024.06.24.600378v1 BioMapAI: Artificial Intelligence Multi-Omics Framework Modeling of Myalgic Encephalomyelitis / Chronic Fatigue Syndrome Ruoyun Xiong, Elizabeth Fleming, Ryan Caldwell, Suzanne D. Vernon, Lina Kozhaya, Courtney Gunter, Lucinda...

Dear All, Over the past 6 months, I had the opportunity to speak with a number of researchers on ME/CFS and share my research work and methods on the use of Artificial Intelligence and Network Analysis to identify promising research targets. With the introduction of Large Language Models...

Initial posts have been moved from another thread. I just noticed that now GPT-models pre trained on data are available for free users too. Is someone up to the task of training one on Me-pedia, trial by error, and science for ME (if members consent). It would be so much more useful for us...

Exploring Metabolic Anomalies in COVID-19 and Post-COVID-19: A Machine Learning Approach with Explainable Artificial Intelligence Juan José Oropeza-Valdez; Cristian Padron-Manrique; Aaron Vazquez-Jimenez; Xavier Soberon-Mainero; Osbaldo Resendis-Antonio The COVID-19 pandemic, caused by...

PubMed and beyond: biomedical literature search in the age of artificial intelligence Qiao Jin; Robert Leaman; Zhiyong Lu Biomedical research yields vast information, much of which is only accessible through the literature. Consequently, literature search is crucial for healthcare and...

I thought it might be useful to create a thread to organize news on what Artificial Intelligence is able to achieve. Its applications might be useful for ME/CFS advocacy and research.

Abstract Artificial intelligence or machine-learning-based models have proven useful for better understanding various diseases in all areas of health science. Myalgic Encephalomyelitis or chronic fatigue syndrome (ME/CFS) lacks objective diagnostic tests. Some validated questionnaires are used...

Full title: A Proposed Explainable Artificial Intelligence-Based Machine Learning Model for Discriminative Metabolites for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Abstract Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex and debilitating disease...

Introduction: Hematologists analyze microscopic images of red blood cells to study their morphology and functionality, detect disorders and search for drugs. However, accurate analysis of a large number of red blood cells needs automated computational approaches that rely on annotated datasets...

Do androids dream of judicial review? Challenges to automated decision-making processes in the public sector While the idea of significant decisions being made with no human involvement was once the preserve of science fiction, automated decision-making processes (ADMPs) are increasingly being...

Glass AI--AI that generates differential diagnosis and clinical plans Recently I learned about this AI tool, which is currently available for anyone to use without cost or registration. Edit: Darn I forgot the link: https://glass.health/ai I'm playing around with it to see how well it...

This twitter thread has been making a splash, and I am very confused at the arguments considering the mindlessness of the BPS model and especially the massive growth in apps for mental health. How is that any different from CBT apps? In the end GPT has learned from the professionals, the only...