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30 Sept 2026

Sylvester Cancer Center Launches AI Platform to Deliver Personalized Support for Cancer Survivors

Researchers at Sylvester Comprehensive Cancer Center have developed Precision AI for Survivorship and Supportive Care, a framework that personalizes evidence-based support for cancer survivors managing post-treatment challenges. Built on data from over 37,000 oncology patients, the AI-enabled platform My Wellness Support uses machine-learning models to identify risk patterns and deliver tailored symptom-management strategies between clinic visits.

2 Sources

29 Sept 2026

AI Companionship Is Making People Lonelier, New Research Reveals

AI chatbots like ChatGPT, Replika and Character.AI are increasingly used for emotional support, but mounting evidence shows these human-AI relationships may cause addiction-like attachment, worsen mental health symptoms, and leave users more isolated than before.

6 Sources

AI-MARRVEL and Genomics Uncover BRSK1 Gene Behind Rare Neurodevelopmental Disorder in 10 Patients

Researchers at Baylor College of Medicine used AI-MARRVEL to identify BRSK1 gene variants as the cause of a previously undiagnosed neurodevelopmental disorder affecting 10 individuals. The condition features developmental delays, autism spectrum disorder, intellectual disability, and seizures with variable severity even within families.

2 Sources

28 Sept 2026

MIT Engineers Use AI to Develop Heat-Resistant RNA Vaccines Stable at Room Temperature

MIT researchers have developed heat-resistant RNA vaccine formulations using an AI algorithm that can remain stable at room temperature for up to a year. The breakthrough addresses a major distribution challenge by eliminating the need for ultracold storage, potentially enabling wider vaccine access globally.

2 Sources

DataMeds AI Launches Health Lives Here Mobile App With NFL Alumni Health Partnership

DataMeds AI and Tollo Health have launched the Health Lives Here mobile application in partnership with NFL Alumni Health. The app integrates telemedicine services, pharmacy services, and an AI health coach, initially targeting GLP-1 medication users with plans to expand to Long COVID and cancer patients by 2026.

2 Sources

26 Sept 2026

AI Tuberculosis Screening Could Cut Costs by 23% in Rural Philippines Health Units

Ateneo de Manila University researchers found AI-assisted chest radiograph interpretation costs Php 877 per person versus Php 1,142 for manual X-ray interpretation in rural health units. The study highlights how AI tuberculosis screening could extend expert-level TB screening to underserved communities where 739,000 Filipinos developed TB in 2024.

2 Sources

Firefly Neuroscience and NeuroSigma Partner to Expand Non-Drug Pediatric ADHD Treatment Access

Firefly Neuroscience Inc. has partnered with NeuroSigma to expand access to the Monarch eTNS System, a non-drug treatment for pediatric ADHD, through its AI-powered Evoke platform. With nearly one-third of 6.5 million U.S. children with ADHD receiving no treatment, this collaboration addresses a critical gap by combining objective brain function insights with medication-free therapy options.

2 Sources

25 Sept 2026

AI Model Predicts Immunotherapy-Related Pneumonitis Risk from Routine CT Scans Before Treatment

Researchers at MD Anderson Cancer Center developed CIPHER, an AI model that analyzes routine chest CT scans to identify lung cancer patients at risk of developing pneumonitis before immunotherapy begins. The foundation model achieved 0.83 AUC accuracy across multiple datasets, outperforming conventional clinical approaches.

2 Sources

24 Sept 2026

New AI Model Combining Ultrasound and Tomosynthesis Achieves 95.5% Specificity in Breast Cancer Triage

Researchers at Sun Yat-sen Memorial Hospital developed a parallel-branch deep learning framework that integrates ultrasound and digital breast tomosynthesis for breast cancer screening. The AI model achieved 95.5% specificity and 0.934 AUC in pathology-confirmed validation, showing particular strength in dense breasts and small lesions while reducing false positives.

2 Sources

AI in Healthcare Drives $942 Million Cost Surge as Hospitals, Insurers Battle Over Billing

Blue Cross Blue Shield Association reports AI tools generated $942 million in additional healthcare costs over two years. Hospitals' use of AI-assisted hospital documentation identifies more secondary conditions, but insurers claim no corresponding treatment changes justify higher payments.

10 Sources

Enveda Raises $311M Series E to Advance Nature-Derived AI Drugs Into Clinical Trials

Biotech startup Enveda closed a $311 million Series E at a $2 billion valuation to advance AI-discovered drug candidates targeting severe skin conditions, weight loss maintenance, and inflammatory diseases. The Boulder-based company has moved three nature-derived compounds into human trials using its PRISM platform.

2 Sources

23 Sept 2026

Anthropic and OpenEvidence Bring Free Medical AI to Doctors in 100 Low-Income Countries

Anthropic and OpenEvidence announced a collaboration to provide free AI-powered clinical decision support to physicians in approximately 100 low and middle-income countries. The initiative addresses healthcare disparities by giving doctors in regions like Uganda, Haiti, and Mongolia access to peer-reviewed medical research and treatment guidelines through smartphones, even where electricity is unreliable.

4 Sources

22 Sept 2026

Binghamton University Secures Funding for AI-Powered Cancer Detection and Advanced RNA Drug Delivery

Two Binghamton University researchers received seed funding from the SUNY Technology Accelerator Fund to advance healthcare innovations. Nancy Guo is developing ClinSegAI, an AI model for rapid cancer biomarker detection in pathology imaging. John Fetse is creating PeptoLNP, amino acid-based lipid nanoparticles that address toxicity concerns in RNA therapeutic drug delivery.

2 Sources

17 Sept 2026

AI Tool Matches Psychiatrist-Level Accuracy in Mental Health Evaluations

UTHealth Houston researchers developed an AI tool that performs mental health evaluations at nearly the same accuracy as psychiatric teams. The system analyzes video recordings of patients to assess conditions like schizophrenia, bipolar disorder, and obsessive-compulsive disorder across 10 diagnostic criteria, bringing AI-assisted psychiatry closer to clinical deployment.

2 Sources

16 Sept 2026

MIT Develops Patient-Specific AI Model That Achieves Sub-Millimeter Precision in Minimally Invasive Surgeries

MIT researchers unveiled xvr, an AI model that adapts to individual patients in five minutes and matches real-time X-rays with preoperative 3D scans in seconds with sub-millimeter precision. Published in Nature, the system outperformed existing AI methods by an order of magnitude and could make life-saving procedures like emergency stroke interventions more accessible.

2 Sources

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