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ChatGPT Health connects to Apple Health data to deliver personalized health answers

OpenAI has launched ChatGPT Health, a new feature that connects to Apple Health and medical records to provide personalized health answers. Available to US users, the AI-powered workspace helps over 300 million weekly users interpret lab results, prepare for doctor visits, and build healthier routines while maintaining strict user control over data access.

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Yesterday

New study reveals 3D genome disruption drives Alzheimer's disease in brain cells

Researchers from Carnegie Mellon University and the University of Pittsburgh discovered that the three-dimensional architecture of the genome is fundamentally altered in specific brain cells of individuals with Alzheimer's disease. Using single-cell technology, spatial tissue mapping, and a novel AI model called Hicformer, the team linked genome folding to gene activity and brain tissue organization, establishing higher-order chromatin reorganization as a primary layer of Alzheimer's pathology.

2 Sources

Cigna deploys AI tools to cut $200 million in medical expenses for patients with chronic conditions

Health insurer Cigna announced AI-powered technology will save customers $200 million in medical costs over three years by identifying at-risk patients earlier. The system connects 1,250 clinicians to members with chronic conditions like cancer and heart disease, boosting clinical access by 20%. The move reflects a broader industry shift as UnitedHealth and CVS Health also deploy AI to improve care efficiency.

2 Sources

OpenAI launches ChatGPT Health nationwide as lawsuit alleges dangerous medical advice

OpenAI rolled out ChatGPT Health to all U.S. users over 18, enabling integration with medical records from Epic, Oracle Health, and Apple Health. The expansion comes amid a lawsuit from Florida pastor Scott Winters, who claims the chatbot's medical advice nearly killed him by discouraging professional care before a life-threatening pulmonary embolism.

16 Sources

16 Jul 2026

Brain-computer interface helps man with paralysis feed himself and regain touch after two years

Keith Thomas, paralyzed from the chest down after a diving accident, can now feed himself and feel his sister's hand thanks to a double neural bypass system. The AI brain implant, developed by the Feinstein Institutes for Medical Research, combines brain-computer interface technology with electrical stimulation to restore both movement and touch. Remarkably, the gains have persisted for over two years, suggesting genuine nervous system rewiring.

2 Sources

15 Jul 2026

AIAI Holdings' MediGuide Launches Precision Healthcare Solution With AI-Driven Diagnostics

AIAI Holdings announced that its portfolio company MediGuide has launched a precision healthcare solution integrating AI-driven diagnostic support with expert clinical review. The service combines genetic, molecular, clinical, and lifestyle data to enable personalized medical decision-making, marking a shift from generalized treatment approaches to individualized care tailored to each patient's unique biological profile.

2 Sources

13 Jul 2026

New York hospital replaces 12 nurses with AI, igniting fury over patient care and labor rights

Montefiore hospital in the Bronx laid off 12 utilization review nurses on Sunday, replacing them with AI-powered software from Datavant. The move came just months after a 41-day nurses' strike that secured safeguards against AI. The New York State Nurses Association claims the layoffs violate the newly won contract and raise serious concerns about patient care quality.

3 Sources

09 Jul 2026

ENvue Medical unveils robotic prototype combining AI navigation with automated tube placement

ENvue Medical demonstrated its ENvue Drive investigational prototype, integrating AI navigation software Ask Oscar with robotic-assisted tube advancement for bedside enteral feeding procedures. The robot-assisted platform identifies anatomical pathways, detects deviations, and assists with tube placement under clinician supervision, though it remains unapproved for clinical use.

2 Sources

Mindbeam AI uses generative AI to hunt for safer pain meds, tackling acetaminophen toxicity

NVIDIA-backed Mindbeam AI published research showing how generative AI can accelerate drug discovery for safer pain medications. The company evaluated 24 drug candidates targeting the TRPV1 receptor and identified three promising compounds with improved predicted liver safety compared to acetaminophen, which causes roughly half of acute liver failure cases in the U.S.

2 Sources

AI therapy is rising but can't replace mental health therapists—here's where it helps instead

People worldwide are turning to AI chatbots like ChatGPT for therapy, seeking emotional support without judgment or waiting lists. While AI in mental health shows promise for early detection and self-reflection, experts warn it cannot replicate human empathy, clinical judgment, or regulatory oversight that mental health therapists provide.

3 Sources

07 Jul 2026

AI model reveals hidden multiple sclerosis brain lesions clinicians couldn't see before

Researchers at University at Buffalo developed an AI model that can detect previously invisible brain lesions in multiple sclerosis patients by analyzing existing MRI scans. The breakthrough reveals cortical lesions in gray matter that have been linked to disease progression and cognitive impairment for decades but remained hidden on conventional imaging. The AI exposed over 11,000 lesions across more than 700 patients in clinical trial data.

5 Sources

AI-Driven Drug Discovery Accelerates Search for Tuberculosis Drugs Against World's Deadliest Infection

Researchers at the University of Massachusetts Amherst have developed PAC-MAN and MycoPermeNet, combining high-throughput screening with machine learning to identify tuberculosis drugs that can penetrate Mycobacterium tuberculosis' notoriously impenetrable outer membrane. The breakthrough could transform treatment for an infection that killed 1.23 million people in 2024.

2 Sources

06 Jul 2026

AI in healthcare must define what should be automated before replacing human connection

As AI capabilities advance, healthcare faces a critical decision: which tasks should be automated and which require irreplaceable human connection. Leading voices argue that AI in healthcare should target administrative burdens while preserving the empathy and connective labor that defines quality patient care. The healthcare AI market is projected to reach $491 billion by 2032, but success depends on deploying technology that makes care more human, not less.

2 Sources

UC San Diego launches Institute for Applied Health Intelligence to transform AI in healthcare

UC San Diego has established the Institute for Applied Health Intelligence, a multidisciplinary hub designed to accelerate AI in healthcare delivery and improve patient outcomes. The institute will unite more than 50 faculty members and train 750 professionals to bridge research and clinical practice through health intelligence and data-driven solutions.

2 Sources

Dartmouth Study Reveals AI in Healthcare Can Increase Physician Workload With Flawed Responses

A large-scale Dartmouth study analyzing 146,000 patient-doctor conversations found that AI in healthcare often creates more work than it saves. AI-generated responses frequently contain errors and irrelevant details, forcing physicians to spend more time editing AI mistakes than writing messages themselves. However, researchers developed a technique that improves accuracy by 33% and reduces editing by 26%.

2 Sources

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