To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...

AI-powered tools can help teams accelerate processes throughout the software development life cycle. Here’s how to make them ...

At BIT Mesra in Ranchi, a three-woman team has trained AI to detect and analyse lunar craters. The ISRO-backed work could support crater dating, navigation planning and future Moon landing missions.

A system that thousands of schools and universities use was offline Thursday due to a cyberattack, creating chaos as students tried to study for finals and underscoring education's dependence on ...

Amazon gives external businesses access to its freight, shipping, distribution capabilities Shares of UPS and FedEx fall more than 9% as Amazon intensifies competition Amazon signs clients such as P&G ...

Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...

SAN DIEGO – A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell ...

Conducting research is hard; confirming the results is, too. And artificial intelligence isn’t yet ready to help, a major new study finds. By Carl Zimmer Carl Zimmer has reported on replication in ...

It’s the farthest long-distance phone call in the known universe. When the astronauts of the Artemis II mission embark Wednesday on their scheduled journey beyond Earth’s orbit, in order to phone home ...

LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...

Abstract: Accurate train delay prediction is crucial for enhancing passenger experience, optimizing railway operations, and enabling proactive decision-making. Conventional statistical and rule-based ...