AI brings its own validation challenges. Unlike static assays, machine learning algorithms evolve as they ingest new data, ...
Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological achievement—a multi-class classification method based on ...
In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...
The FDA, along with its global counterparts, has moved from broad principles to lifecycle expectations. Frameworks like Good ...
Docspire today announced its launch as an AI-powered document intelligence platform, bringing contextual understanding to industries that have been stuck with basic text extraction for decades. While ...
Ex vivo lung perfusion (EVLP) provides a platform for testing therapies but faces challenges in standardizing drug evaluation. At AAPS PharmSci 360, Xuanzi Zhou says digital twins accurately predict ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Generative AI models aren’t perfect. Despite constant improvement, they still hallucinate and make mistakes. And for a ...
Early results show 70% accuracy of AI-assisted detection of unexplained male infertility using Asian IVF data.
There is hidden potential. SDVs are rapidly evolving as in-vehicle edge AI capabilities become more streamlined and ...
While self-healing agentic test suites can help eliminate the manual intervention consuming engineering cycles, there are key strategies to make this approach successful.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results