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16 Jun 2026

AI-powered deep brain stimulation adapts in real time to improve gait in Parkinson's disease

Researchers have developed adaptive deep brain stimulation that adjusts electrical pulses in real time based on patient movement. The system uses machine learning to decode brain signals during walking, standing, and obstacle navigation, delivering personalized neuromodulation that improves walking in Parkinson's patients where conventional therapies fall short.

3 Sources

15 Jun 2026

Family blames AI hospital system after woman dies waiting five days for ICU bed in Brazil

A 32-year-old Brazilian woman died after an AI-powered hospital management system allegedly delayed her ICU transfer for five days. Rebeca Cardoso Tenente Molina's family claims the Core-MG system assigned her a lower severity score than her deteriorating condition warranted, preventing doctors from exercising their medical judgment. The case highlights concerns about AI decision-making in critical healthcare situations.

2 Sources

11 Jun 2026

Takeda's AI-developed psoriasis pill outperforms Bristol Myers' Sotyktu in head-to-head trial

Takeda Pharmaceutical announced its AI-crafted experimental psoriasis drug zasocitinib achieved superior skin clearance compared to Bristol Myers' approved Sotyktu in a late-stage study. The once-daily pill delivered complete skin clearance in 35% of patients after 16 weeks, more than 2.5 times Sotyktu's rate, positioning it as a potential blockbuster with projected peak annual sales of $3-6 billion.

2 Sources

Abridge and Nvidia build foundation model for clinical intelligence from real doctor visits

Abridge unveiled an AI-native clinician intelligence platform with backing from Nvidia and Eli Lilly, transforming ambient AI from a transcription tool into an operating system for medicine. The startup now processes 100 million clinical conversations annually across 300+ health systems, while co-developing the first foundation model trained specifically on doctor-patient dialogue.

3 Sources

10 Jun 2026

Hetairos AI classifies brain tumors in 12 minutes with 87% accuracy, outperforming specialists

Researchers at the German Cancer Research Center have developed Hetairos, an AI system that identifies over 100 molecular subtypes of brain tumors using standard microscopic tissue sections. Trained on more than 11,000 slides from 9,606 patients across four continents, the system delivers diagnoses in 12 minutes with 87% accuracy—significantly outperforming experienced neuropathologists in head-to-head testing.

2 Sources

09 Jun 2026

Machine learning model plasmaCHORD filters biological noise to improve liquid biopsy accuracy

Researchers at Johns Hopkins Kimmel Cancer Center developed plasmaCHORD, a machine learning model that distinguishes tumor mutations from white blood cell mutations in liquid biopsy samples. The model improved accuracy from approximately 50% to 83% for clinically relevant mutations, helping clinicians select more effective targeted cancer treatments and avoid therapies unlikely to work.

2 Sources

Common joint supplement glucosamine linked to 25% faster Alzheimer's progression in new study

University of Florida researchers discovered that glucosamine, a widely used over-the-counter joint supplement, is associated with a 25% higher likelihood of progressing from mild cognitive impairment to Alzheimer's disease. The study analyzed 12 years of health records and found the supplement may worsen disease progression in millions of seniors who take it for joint pain.

2 Sources

AI screening tool boosts diabetic eye exam referrals for African Americans by 46%

Johns Hopkins researchers found that African American patients with diabetes were significantly more likely to receive diabetic eye exam referrals when screened with an FDA-approved AI tool compared to traditional primary care provider referrals. The AI-assisted diagnostic tool analyzed retinal images in real time, providing immediate results that increased patient adherence to essential screenings for diabetic retinopathy.

2 Sources

06 Jun 2026

New AI technology speeds eye disease diagnosis and predicts heart attack, stroke risks from retinal scans

Researchers at Washington University School of Medicine developed OCTCube-M, an AI system that analyzes 3D eye scans to detect retinal diseases more accurately than older models. The technology identified 43 to 60 additional cases per 1,000 individuals and can predict broader health risks including heart attack, stroke, and kidney failure based solely on retinal imaging.

2 Sources

05 Jun 2026

New AI tool achieves near-perfect accuracy in distinguishing Alzheimer's from Lewy body dementia

University of Florida researchers developed AIDD, an AI-powered tool that combines brain scans with machine learning to distinguish between Alzheimer's disease and dementia with Lewy bodies with near-perfect accuracy. The breakthrough addresses a critical problem: up to 50% of Lewy body dementia patients are misdiagnosed as having Alzheimer's, leading to treatments that can worsen symptoms.

2 Sources

AI-designed vaccine passes first human trial, offering broad protection against coronaviruses

Researchers at the University of Cambridge successfully tested the world's first AI-designed vaccine in humans. The trial involved 39 volunteers and targeted multiple coronaviruses, including COVID-19 and SARS. The vaccine uses an AI-designed super-antigen that could provide lasting protection against entire virus families, even as they mutate, potentially transforming how we prepare for future pandemics.

11 Sources

AI epilepsy detection identifies early warning signs in EEG data without visible seizures

University of Delaware researchers developed an AI-powered method to detect early warning signs of epilepsy in baseline brain activity, eliminating the need to capture seizures during routine EEG recordings. The machine learning algorithm successfully identified genetic epilepsy markers in mouse models with high accuracy and is now advancing to clinical trials with children at Nemours Children's Health.

2 Sources

04 Jun 2026

Wayne State University secures patent for AI system that detects surgical bleeding in real time

Wayne State University and RediMinds Inc. received U.S. Patent No. 12,635,098 B2 for technology that uses machine learning and computer vision to detect arterial bleeding during surgery. The system displays bleeding sources through augmented reality overlays, helping surgeons respond quickly during robotic and laparoscopic procedures across over 9,000 U.S. hospital systems.

2 Sources

03 Jun 2026

New smartwatch tracks blood pressure continuously without a cuff using physics and AI

Researchers from the University of Utah and University of Illinois Chicago developed a cuffless smartwatch that monitors blood pressure and blood flow continuously throughout the day. The wearable device uses electrical bioimpedance and physics-informed machine learning to track cardiovascular health during daily activities, offering a potential alternative to traditional cuff-based monitors.

2 Sources

Microsoft and Mayo Clinic Partner to Build Frontier AI Model for Healthcare Transformation

Microsoft and Mayo Clinic announced a strategic collaboration to develop a frontier AI model specifically designed for healthcare. The partnership combines Mayo Clinic's clinical expertise and de-identified patient data with Microsoft's AI and cloud capabilities. The model aims to support earlier diagnoses, personalized treatment decisions, and better patient outcomes while addressing healthcare's most challenging problems.

4 Sources

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