Mayo Clinic has launched Mayo Clinic Platform_Orchestrate, a comprehensive programme designed to accelerate clinical development by providing biopharma and medical device companies with streamlined access to de-identified clinical data, artificial intelligence tools, and international research networks.
Researchers have successfully used genome language models to design complete, functional bacteriophage genomes, marking the first generative design of whole living organisms. The breakthrough demonstrates AI’s capacity to access novel evolutionary spaces and create phage cocktails that rapidly overcome bacterial resistance.
Researchers at Emory University have demonstrated that GPT-5, the latest large language model from OpenAI, significantly outperforms human medical experts on standardised diagnostic reasoning tasks. The AI achieved remarkable accuracy rates exceeding 95% on medical licensing examinations whilst showing particular strength in integrating visual and textual clinical information.
OHSU scientists have developed OmicsTweezer, a powerful machine learning tool that uses advanced deep learning and optimal transport techniques to analyse cell type composition in human tissues. The breakthrough technology addresses long-standing batch effect challenges in cancer research, potentially improving therapeutic target identification and patient outcomes across multiple cancer types.
Artificial intelligence could unlock the full potential of therapeutic and assistive exoskeletons by enabling autonomous operation, reducing dependence on therapists and caregivers. However, researchers emphasise that richer patient data and more accurate digital twins are essential before these technologies can achieve widespread clinical deployment and revolutionise rehabilitation outcomes.
Google DeepMind researchers have developed an asynchronous oversight system enabling AI to conduct diagnostic consultations whilst maintaining physician accountability. The guardrailed AMIE system demonstrated superior performance to nurse practitioners and primary care physicians in virtual clinical examinations whilst strictly deferring medical advice to supervising doctors.
Researchers have developed an artificial intelligence system that can estimate bone mineral density and detect osteoporosis from standard lumbar X-ray images, achieving sensitivity rates of 86.4% for osteopenia detection. The technology could transform routine clinical X-rays into powerful screening tools for bone health assessment.
Large Language Model (LLM) artificial intelligence systems increasingly deployed across healthcare settings pose serious risks to patient safety, with new research revealing these tools systematically recommend reduced medical care for women and vulnerable populations based on irrelevant factors such as typing errors and communication style rather than clinical need.
A comprehensive global survey commissioned by Philips has identified substantial trust disparities between healthcare professionals and patients regarding artificial intelligence implementation in medical care, with professionals showing significantly greater optimism about AI’s potential to improve patient outcomes.
Researchers from the VIB-KU Leuven Center for Brain & Disease Research have unveiled a predictive model that could revolutionise Alzheimer’s disease diagnosis and treatment strategies. Their study, published in Molecular Neurodegeneration, reveals how specific genetic mutations in three causal genes create a ‘molecular clock’ that accurately forecasts disease onset, potentially enabling clinicians to provide personalised […]
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OHSU/Christine Torres Hicks