Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...
RAPID CITY, S.D. (KOTA) - Instagram has become much safer for teens. Meta has developed an automatically generated user environment. Using machine learning based on reviews from the past year, foul ...
1 AI Meteorological Research Division, National Institute of Meteorological Sciences, Jeju, Republic of Korea 2 Artificial Intelligence Meteorological Technology Research Society, Korea Meteorological ...
In this paper, we introduce QProteoML, a new quantum machine learning (QML) framework for predicting drug sensitivity in Multiple Myeloma (MM) using high-dimensional proteomic data. MM, an extremely ...
In this study, the authors developed a novel radiotherapy sensitivity score (NPC-RSS) for nasopharyngeal carcinoma patients using machine learning algorithms. They identified 18 key genes associated ...
Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...
For some people, perceived criticism can be overwhelming. Credit...Vanessa Saba Supported by By Christina Caron Imagine a nail jabbing at a shiny blue balloon. Pop! That’s what rejection can feel like ...
Systems Mass Spectrometry Core, Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, 315 Ferst Drive NW, Atlanta, Georgia Samuel, USA School of Chemistry and ...
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