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Generative AI on Track to Shape the Future of Drug Design

Using advanced artificial intelligence (AI), researchers have developed a novel method to make drug development faster and more efficient.

In a new paper, Xia Ning, lead author of the study and a professor of biomedical informatics and computer science and engineering at The Ohio State University, introduces DiffSMol, a generative AI model capable of generating realistic 3D structures of small molecules that can serve as promising drug candidates.

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Reorganisation, Consolidation, and Cuts: What are the Implications for NHS IT?

NHS England has been downsized and abolished. Integrated care boards have been told to change function, consolidate, and deliver savings. Trusts are planning big cuts. The Highland Marketing advisory board met to consider the impact on health tech, and how suppliers can navigate the chaos.

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Philips Future Health Index 2025 Report Highlights Significant Trust Gap in Healthcare AI Between Clinicians and Patients

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today unveiled its 2025 Future Health Index U.S. report, "Building trust in healthcare AI," spotlighting the state of healthcare and uncovering a significant trust gap between healthcare professionals (HCPs) and patients around the role of AI in healthcare. This 10th edition report, commissioned by Philips, reveals a healthcare system under mounting strain and signals that AI can help.

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AI Tool Uses Face Photos to Estimate Biological Age and Predict Cancer Outcomes

Eyes may be the window to the soul, but a person's biological age could be reflected in their facial characteristics. Investigators from Mass General Brigham developed a deep learning algorithm called FaceAge that uses a photo of a person’s face to predict biological age and survival outcomes for patients with cancer.

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AI Model Improves Delirium Prediction, Leading to Better Health Outcomes for Hospitalized Patients

An artificial intelligence (AI) model improved outcomes in hospitalized patients by quadrupling the rate of detection and treatment of delirium. The model identifies patients at high risk for delirium and alerts a specially-trained team to assess the patient and create a treatment plan, if needed.

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AI-Human Task-Sharing could Cut Mammography Screening Costs by Up to 30%

The most effective way to harness the power of artificial intelligence (AI) when screening for breast cancer may be through collaboration with human radiologists - not by wholesale replacing them, says new research co-written by a University of Illinois Urbana-Champaign expert in the intersection of health care and technology.

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AI-Powered Precision: Unlocking the Future of Immunotherapy through Immunogenomics, Radiomics, and Pathomics

A team of researchers from the Department of Diagnostic and Therapeutic Ultrasonography at the Tianjin Medical University Cancer Institute & Hospital, have published a review in Cancer Biology & Medicine. The paper underscores the potential of AI to decode complex biological data with unprecedented speed and accuracy.

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Call for Papers: AI Applications in Biomedical Engineering

JMIR Biomedical Engineering is inviting submissions for a new section titled "AI Applications in Biomedical Engineering." This themed section explores the integration of biomedical engineering and artificial intelligence (AI), focusing on how AI's capabilities are changing health care.

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SALSA: A New AI Tool for the Automated and Precise Analysis of Liver Tumors

Investigators of the Vall d'Hebron Institute of Oncology's (VHIO) Radiomics Group, led by Raquel Perez-Lopez, have developed SALSA (System for Automatic Liver tumor Segmentation And detection), a fully automated deep learning-driven tool for the precise and completely automated detection and monitoring of liver tumors (hepatocellular carcinoma).

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Siemens Healthineers infection Control System Reduce Occurrences of Infection at KRH Klinikum Siloah in the Hannover Region

Klinikum Region Hannover (KRH) has commissioned Siemens Healthineers to install infection control system (ICS) at the Klinikum Siloah hospital. The ICS aims to effectively tackle nosocomial infections and increase patient and employee safety. The systems detect and record potential pathogen sources and trigger automated processes to take the right measures at the right time.

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