Max Planck Institute for Informatics and Google are Expanding their Strategic Research Partnership on AI

The Max Planck Institute for Informatics and Google deepen their strategic research partnership. With additional financial support from the U.S. IT company, the "Saarbrücken Research Center for Visual Computing, Interaction and Artificial Intelligence (VIA)", which was only launched in November 2022 at the MPI in Saarbrücken, is establishing a new research area "Vision and Language Models (VLMs)", led by Professor Bernt Schiele.

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JMIR Medical Informatics Invites Submissions on AI Language Models in Health Care

JMIR Publications has announced a new section titled, "AI Language Models in Health Care" in JMIR Medical Informatics. This leading peer-reviewed journal is indexed in PubMed and has a unique focus on clinical informatics and the digitization of care processes. This section will have a broad focus and encompass topics about the successful implementation of artificial intelligence (AI) language models in diverse health care settings.

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AI can Predict Brain Cancer Patients' Survival

Artificial Intelligence (AI) can predict whether adult patients with brain cancer will survive more than eight months after receiving radiotherapy treatment.

The use of the AI to successfully predict patient outcomes would allow clinicians to be better informed for planning the next stage of treatment and refer patients to potentially life-saving treatment quicker.

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Paper Calls for Patient-First Regulation of AI in Healthcare

Ever wonder if the latest and greatest artificial intelligence (AI) tool you read about in the morning paper is going to save your life? A new study published in JAMA led by John W. Ayers, Ph.D., of the Qualcomm Institute within the University of California San Diego, finds that question can be difficult to answer since AI products in healthcare do not universally undergo any externally evaluated approval process assessing how it might benefit patient outcomes before coming to market.

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AI in Personalized Cancer Medicine: New Therapies Require Flexible and Safe Approval Conditions

The application of AI in precision oncology has so far been largely confined to the development of new drugs and had only limited impact on the personalisation of therapies. New AI-based approaches are increasingly being applied to the planning and implementation of personalised drug and cell therapies.

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DMEA nova Award: Wanted - Visionary Solutions for Digital Healthcare

9 - 11 April 2024, Berlin, Germany.
The DMEA nova Award is being presented at DMEA 2024 for the first time. The award honours a digital health startup for an outstanding idea or solution aimed at advancing digital healthcare.

Startups have become an indispensable part of the digital health industry. Not only are they aspiring enterprises, they are also exceptionally creative, combining traditional medical care with state-of-the-art technology.

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American College of Radiology Releases Joint Statement on the Use of AI Tools in Radiology

The American College of Radiology® (ACR®), working in close collaboration with four other radiology societies from around the world, have issued a joint statement on the development and use of artificial intelligence (AI) tools in radiology. This groundbreaking joint statement is openly available in ACR's Journal of the American College of Radiology, published by Elsevier.

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Autonomous Synthesis Robot Uses AI to Speed Up Chemical Discovery

Chemists of the University of Amsterdam (UvA) have developed an autonomous chemical synthesis robot with an integrated AI-driven machine learning unit. Dubbed 'RoboChem', the benchtop device can outperform a human chemist in terms of speed and accuracy while also displaying a high level of ingenuity.

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Northern Care Alliance Deploys Digital Pathology with Sectra

The trust's Oldham laboratory has completed technical go-live, with its Salford site also set to follow. Collectively the laboratories provide a wide range of general and specialist pathology services that support diagnoses for patients in the region. This includes one of the largest dermatology departments in the country, and gynaecology services that cover six hospitals.

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AI Harnesses Tumor Genetics to Predict Treatment Response

In a groundbreaking study published on January 18, 2024, in Cancer Discovery, scientists at University of California San Diego School of Medicine leveraged a machine learning algorithm to tackle one of the biggest challenges facing cancer researchers: predicting when cancer will resist chemotherapy.

All cells, including cancer cells, rely on complex molecular machinery to replicate DNA as part of normal cell division.

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