Development

AI Innovation Unlocks Non-Surgical Way to Detect Brain Cancer Spread

Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery.

The proof-of-concept study, co-led by McGill University researchers Dr. Matthew Dankner and Dr. Reza Forghani, alongside an international team of clinicians and scientists, demonstrated the AI model can detect the presence of cancer cells in surrounding brain tissue with 85-per-cent accuracy.

Picking the Right Doctor? AI could Help

Years ago, as she sat in waiting rooms, Maytal Saar-Tsechansky began to wonder how people chose a good doctor when they had no way of knowing a doctor's track record on accurate diagnoses. Talking to other patients, she found they sometimes based choices on a physician’s personality or even the quality of their office furniture.

Using AI to Uncover Hospital Patients' Long COVID Care Needs

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ. So, while the profiles developed for people with common conditions may seem universal, the reality is that there are nuances that require individual attention, both in the make-up of the patients being seen and the situations of the hospitals providing their care.

Predicting the Progression of Autoimmune Disease with AI

Autoimmune diseases, where the immune system mistakenly attacks the body's own healthy cells and tissues, often have a preclinical stage before diagnosis that’s characterized by mild symptoms or certain antibodies in the blood. However, in some people, these symptoms may resolve before culminating in the full disease stage.

Knowing who may progress along the disease pathway is critical for early diagnosis and intervention, improved treatment and better disease management,

Major EU Project to Investigate Societal Benefits and Risks of AI

A new €3 million EU research project led by University College Dublin (UCD) Centre for Digital Policy will explore the benefits and risks of Artificial Intelligence (AI) from a societal perspective in order to enhance AI capabilities and EU regulatory frameworks.

Commencing in February 2025, the FORSEE (Forging Successful AI Applications for European Economy and Society) project is funded through the Beyond the horizon: A human-friendly deployment of artificial intelligence and related technologies funding call under the Horizon Europe programme.

New AI Tool Uses Routine Blood Tests to Predict Immunotherapy Response for Many Cancers

Doctors around the world may soon have access to a new tool that could better predict whether individual cancer patients will benefit from immune checkpoint inhibitors - a type of immunotherapy - using only routine blood tests and clinical data.

The artificial intelligence–based model, dubbed SCORPIO, was developed by a team of researchers from Memorial Sloan Kettering Cancer Center (MSK) and the Tisch Cancer Institute at Mount Sinai.

New Method Tracks the 'Learning Curve' of AI to Decode Complex Genomic Data

Introducing Annotatability - a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic datasets often contain vast amounts of annotated samples, but many of these samples are annotated either incorrectly or ambiguously.

Research and Development News

AI Innovation Unlocks Non-Surgical Way to Detect Brain Cancer Spread

Picking the Right Doctor? AI could Help

Using AI to Uncover Hospital Patients' Long COVID Care Needs

Predicting the Progression of Autoimmune Disease with AI

Major EU Project to Investigate Societal Benefits and Risks of AI

New AI Tool Uses Routine Blood Tests to Predict Immunotherapy Response for Many Cancers

New Method Tracks the 'Learning Curve' of AI to Decode Complex Genomic Data

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