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AI Platform could Speed Peptide Drug Discovery

Penn Engineers have developed PeptiVerse, an AI-powered platform that predicts key chemical and biological properties of peptides, the strings of amino acids whose medical potential has been demonstrated by the success of GLP-1 drugs, the widely used weight-loss treatments.

In Nature Communications, the researchers describe how they trained PeptiVerse using a wide range of data sets, allowing it to predict properties that can help determine whether a peptide is worth pursuing as a potential drug,

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Messe Düsseldorf Brings Europe's Leading Wearables Conference to Düsseldorf

16 - 19 November 2026, Düsseldorf, Germany.
Wearables are rapidly evolving from consumer products into clinically relevant key technologies. From digital biomarkers and smart patches to AI-supported remote monitoring, wearable systems are increasingly transforming diagnostics, prevention and therapy. MEDICA is responding to this development with a new international programme highlight: the Wearable Technologies (WT) Conference Europe will take place for the first time on 16 and 17 November as part of MEDICA 2026 in Düsseldorf.

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Doctors Develop Guiding Principles for Future of AI in Healthcare

A UVA Health emergency medicine doctor and colleague at Clemson University have developed a framework to help hospitals integrate artificial intelligence (AI) to not just increase efficiency and cut costs but ensure high-quality patient care remains the top priority.

With the massive potential of artificial intelligence to transform healthcare in the coming years, UVA’s R. Andrew Taylor, MD, MHS, and Clemson’s Arwen B.L. Declan, MD, PhD, created the new framework to ensure healthcare remains “rooted in its ethical obligations”

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Tieto Caretech, x-tention, and Better Announce Strategic Partnership

Three leading digital health innovators - Tieto Caretech, x‑tention, and Better - have entered into a strategic partnership to accelerate the next generation of open, patient‑centric healthcare systems. United by complementary strengths and a shared commitment to openness, interoperability, and data freedom, the three companies are setting a new benchmark for how healthcare IT can evolve.

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New Tool Detects Hidden Bias in Medical AI

Researchers have built a tool to uncover hidden issues in the massive datasets used to train medical AI.

The tool searches training data for subtle patterns that could lead AI models to incorrect conclusions, potentially jeopardizing patient care. The work aims to help researchers and regulators make artificial intelligence more reliable and trustworthy for real-world clinical use.

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AI could Help Identify which Environmental Chemicals Pose the Greatest Health Risks

Artificial intelligence (AI) is rapidly improving scientists’ ability to detect chemicals in the environment and human body. A new perspective article argues that the next major step is not simply identifying more chemicals, but determining which exposures are most likely to disrupt biological systems and contribute to disease.

Published in Artificial Intelligence & Environment, the article describes a shift toward functional chemical exposomics,

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AI Disagreement may Shake Patient Trust in Doctors

Patient trust in medical professionals might hinge on what artificial intelligence (AI) has to say, according to a team led by Penn State researchers.

Using an AI chatbot roleplaying as a human doctor, the team identified how people perceive medical professionals when they think a “human” doctor consults an AI system for a second opinion during mental health consultations.

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Philips Future Health Index 2026: AI is Already Saving Clinicians Time and Delivering Measurable Impact in Healthcare

AI is already saving clinicians the equivalent of over 16 working days a year and helping them see more patients, but healthcare systems risk falling behind because of inadequate training and fragmented infrastructure. That’s according to findings from Philips’ Future Health Index 2026, the 11th edition of the global report, based on perspectives from over 2,000 healthcare professionals and 20,000 patients across 10 countries.

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Stockport NHS Foundation Trust Advances Pathology Transformation with Clinisys™ WinPath

Stockport NHS Foundation Trust has successfully completed the full deployment of the Clinisys™ WinPath Laboratory Information Management System (LIMS), marking a significant milestone in its ongoing digital transformation of pathology services. The final phase of the go-live, covering blood transfusion and blood sciences, was completed on 20 April 2026, following an earlier implementation across microbiology and cellular pathology in September 2025.

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New Method That Enables Human Cells to Make Autonomous Decisions Like Computers

Researchers have developed a new method that enables human cells to be programmed to perform calculations and make autonomous decisions, similar to how computer chips function, which could help scientists build smarter cell-based treatments for diseases, like cancer, in the future.

In a new study published in Nature Communications, Ph.D. student Keren Roas and Dr. Lior Nissim from the Hebrew University of Jerusalem Institute for Medical Research Israel-Canada, Faculty of Medicine, created artificial genetic systems inside human cells that can process information and follow complex instructions.

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