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Rutgers University uses AI to measure pain through facial micromovements and heart rhythms

AI Tool Analyzes Bone Marrow Slides to Personalize Multiple Myeloma Treatment for Newly Diagnosed Patients

AI foundation models show promise for universal eye care but face real-world deployment barriers

ApexGO uses generative AI to optimize antibiotics, achieving 85% success against superbugs

Rutgers University uses AI to measure pain through facial micromovements and heart rhythms

Researchers at Rutgers University developed an AI-powered method to measure pain by tracking invisible facial micromovements and heart rate variability. The study challenges traditional subjective pain scales by offering objective data for patients who cannot verbally express discomfort, including young children, stroke survivors, and individuals with dementia.

2 Sources

AI Tool Analyzes Bone Marrow Slides to Personalize Multiple Myeloma Treatment for Newly Diagnosed Patients

Researchers at Sylvester Comprehensive Cancer Center developed an AI-based tool that identifies immune-related signals in routine bone marrow biopsy slides to predict which newly diagnosed multiple myeloma patients will benefit most from specific therapies. The GigaTIME model analyzed 212 patients and found those with low CD16 levels had significantly better outcomes with daratumumab-based treatment.

2 Sources

AI foundation models show promise for universal eye care but face real-world deployment barriers

ApexGO uses generative AI to optimize antibiotics, achieving 85% success against superbugs

Anthropic and Gates Foundation commit $200 million to expand AI for public good in health, education

65% of U.S. doctors now rely on OpenEvidence, a free AI tool most patients don't know about

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22 May 2026

AI Tool Analyzes Bone Marrow Slides to Personalize Multiple Myeloma Treatment for Newly Diagnosed Patients

Researchers at Sylvester Comprehensive Cancer Center developed an AI-based tool that identifies immune-related signals in routine bone marrow biopsy slides to predict which newly diagnosed multiple myeloma patients will benefit most from specific therapies. The GigaTIME model analyzed 212 patients and found those with low CD16 levels had significantly better outcomes with daratumumab-based treatment.

2 Sources

21 May 2026

AI foundation models show promise for universal eye care but face real-world deployment barriers

A systematic review published in Advances in Ophthalmology Practice and Research examines how AI foundation models are shifting ophthalmology from single-purpose algorithms to flexible systems that connect images, clinical language, and patient data. Models like RETFound and VisionFM demonstrate strong diagnostic performance across multiple eye diseases, but challenges including algorithmic bias, limited interpretability, and insufficient clinical validation must be addressed before widespread adoption.

2 Sources

20 May 2026

Rutgers University uses AI to measure pain through facial micromovements and heart rhythms

Researchers at Rutgers University developed an AI-powered method to measure pain by tracking invisible facial micromovements and heart rate variability. The study challenges traditional subjective pain scales by offering objective data for patients who cannot verbally express discomfort, including young children, stroke survivors, and individuals with dementia.

2 Sources

14 May 2026

Ontario Audit Reveals AI Medical Scribes Hallucinate Patient Info, Miss Critical Health Details

An Ontario audit found all 20 government-approved AI medical scribes generated incorrect or fabricated information during testing. Nine systems hallucinated nonexistent patient details, 12 recorded wrong medication names, and 17 missed mental health issues—raising serious concerns about patient safety despite 5,000 doctors already using these tools.

3 Sources

Anthropic and Gates Foundation commit $200 million to expand AI for public good in health, education

Anthropic and the Gates Foundation announced a four-year, $200 million partnership to deploy AI in underserved regions. The initiative targets global health improvements, vaccine development for neglected diseases, and educational outcomes in sub-Saharan Africa and India, addressing concerns that AI could widen inequality.

2 Sources

65% of U.S. doctors now rely on OpenEvidence, a free AI tool most patients don't know about

OpenEvidence, a free AI-powered chatbot, has quietly become the go-to clinical decision tool for roughly 650,000 U.S. doctors across 27 million clinical encounters in April alone. The venture-backed tech unicorn valued at $12 billion generates revenue through pharmaceutical ads, raising questions about patient impact and medical judgment as adoption accelerates.

2 Sources

13 May 2026

ApexGO uses generative AI to optimize antibiotics, achieving 85% success against superbugs

University of Pennsylvania researchers have developed ApexGO, an AI-powered methodology that transforms imperfect antibiotic candidates into potent drugs. The system achieved 85% success in halting bacterial growth, with 72% outperforming their original templates. In preclinical mouse models, ApexGO-designed peptides matched polymyxin B, a last-resort antibiotic, marking a shift toward systematic antibiotic discovery.

2 Sources

09 May 2026

Whoop adds AI features and on-demand video consultations with licensed doctors this summer

Whoop announced on-demand video consultations with licensed doctors and new AI features for its 2.5 million users starting this summer. The fitness-tracking wristband will connect biometric data with health professionals who can access medical history and bloodwork, while AI-powered personalized coaching adapts to life changes through features like My Memory and Proactive Check-Ins.

2 Sources

07 May 2026

AI model detects hidden pancreatic cancer up to 3 years before doctors spot it on CT scans

Mayo Clinic researchers developed REDMOD, an AI model that identifies pancreatic cancer on routine CT scans an average of 16 months before clinical diagnosis. The system detected 73% of pre-diagnostic cases that appeared normal to radiologists, with detection rates nearly three times higher for scans taken more than two years before diagnosis. This breakthrough could enable earlier intervention in one of the deadliest cancers.

3 Sources

Samsung Galaxy Watch can predict fainting episodes with AI, but experts raise concerns

Samsung's Galaxy Watch 6 achieved 84.6% accuracy in predicting vasovagal syncope up to five minutes before it happens in a clinical study with 132 patients. The wearable technology uses a photoplethysmography sensor and AI algorithm to analyze heart rate variability. But medical experts warn the 64% specificity could trigger excessive false alarms in real-world use.

12 Sources

05 May 2026

Zuckerberg's Biohub invests $500M to build AI models that simulate human cells at molecular scale

Meta CEO Mark Zuckerberg and wife Priscilla Chan are investing $500 million through their Chan Zuckerberg Biohub to create AI models of human cells. The five-year initiative aims to generate datasets and predictive cellular models that could transform how researchers study disease and develop treatments, joining a growing race among tech giants to merge AI with biology.

2 Sources

30 Apr 2026

AI Diagnosis Outperforms Emergency Room Doctors in Harvard Study, Raises Questions on Patient Care

A Harvard Medical School study published in Science reveals that OpenAI's o1 model achieved 67% diagnostic accuracy at emergency room triage, outperforming two attending physicians who scored 55% and 50%. The research tested AI against doctors using real patient data from Beth Israel Deaconess Medical Center, with blinded reviewers unable to distinguish AI output from human diagnoses. While the findings demonstrate AI's potential as a diagnostic tool, researchers emphasize the urgent need for clinical trials and accountability frameworks before deployment in actual patient care settings.

16 Sources

29 Apr 2026

AI detects pancreatic cancer up to 3 years before diagnosis, outperforming radiologists by nearly 3x

Mayo Clinic researchers developed REDMOD, an AI model that spots pancreatic cancer an average of 475 days before clinical diagnosis by identifying subtle changes invisible to the human eye on routine CT scans. The system correctly identified 73% of cases compared to 39% for radiologists, offering hope for shifting diagnosis from late-stage terminal disease to early-stage curative treatment.

9 Sources

28 Apr 2026

AI analyzes facial aging to predict cancer survival, revealing how treatment accelerates biological age

Researchers at Mass General Brigham developed an AI tool that tracks biological age through facial photographs, finding cancer patients age 40% faster than expected. The Face Aging Rate metric, published in Nature Communications, offers a non-invasive biomarker to guide personalized treatment planning and predict survival outcomes in oncology.

4 Sources

27 Apr 2026

AI predicts ADHD in children by age 5, years before most get diagnosed

Duke Health researchers developed an AI tool that analyzes routine electronic health records to predict ADHD risk in children as young as 5, years before typical diagnosis. By mining hidden patterns in medical data from over 140,000 children, the model identifies developmental and behavioral markers that clinicians might miss, offering a clinical safety net for early intervention.

8 Sources

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