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Making AI a Partner in Neuroscientific Discovery

The past year has seen major advances in Large Language Models (LLMs) such as ChatGPT. The ability of these models to interpret and produce human text sources (and other sequence data) has implications for people in many areas of human activity. A new perspective paper in the journal Neuron argues that like many professionals, neuroscientists can either benefit from partnering with these powerful tools or risk being left behind.

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Evaluating the Performance of AI-Based Large Language Models in Radiation Oncology

A new study evaluates an artificial intelligence (AI)-based algorithm for autocontouring prior to radiotherapy in head and neck cancer. Manual contouring to pinpoint the area of treatment requires significant time, and an AI algorithm to enable autocontouring has been introduced. The study is published in the peer-reviewed journal AI in Precision Oncology.

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Could ChatGPT Help or Hurt Scientific Research Articles?

Since its introduction to the public in November 2022, ChatGPT, an artificial intelligence system, has substantially grown in use, creating written stories, graphics, art and more with just a short prompt from the user. But when it comes to scientific, peer-reviewed research, could the tool be useful?

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Chapman Scientists Code ChatGPT to Design New Medicine

Generative artificial intelligence platforms, from ChatGPT to Midjourney, grabbed headlines in 2023. But GenAI can do more than create collaged images and help write emails - it can also design new drugs to treat disease.

Today, scientists use advanced technology to design new synthetic drug compounds with the right properties and characteristics, also known as "de novo drug design." However, current methods can be labor-, time-, and cost-intensive.

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Europe's Digital Health Industry Meets at DMEA in Berlin

9 - 11 April 2024, Berlin, Germany.
In just over two months, from 9 to 11 April 2024, DMEA, Europe's leading event for digitalisation of healthcare, will gather digital health experts at the Berlin Exhibition Grounds. Around 700 exhibitors and 300 speakers from Germany and abroad will present their solutions and products for the future of digital healthcare.

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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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