A study evaluated agreement between 10 AI digital pathology tools in assessing IHC-based HER2 expression and found the most variability in identifying HER2-low samples.
Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the journal Proceedings ...
Oncologists say there is promise in new AI tools that can guide them when choosing between two plausible treatments.
St. Jude Children’s Research Hospital scientists and multinational collaborators created AI-powered M-PACT to facilitate next ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
Share on Pinterest Cannabis derivatives may lead to new treatments for ovarian cancer. Image Credit: Bloomberg Creative Photos/Getty Images Early lab research shows that two cannabis compounds, THC ...
High numbers of regulatory T cells (red) — seen here interacting with antigen-presenting cells (blue) — are usually associated with poorer outcomes in cancer. A new MSK study, however, found that a ...
Valve’s second big foray into first-party PC hardware isn’t a sequel to the much-imitated Steam Deck portable, but rather a desktop computer called the Steam Machine. And while it could go on your ...
Talk about a breath of fresh air. Researchers have developed a groundbreaking device that may one day make detecting lung cancer as easy as exhaling. “We built a screening tool that could allow ...
The IAEA has released a new e-learning course to help medical imaging specialists, oncologists and policymakers use a diagnostic tool that combines positron emission tomography and computed tomography ...
In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...
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