Results 21 to 30 of about 1,248,762 (236)
CancersSimple Summary Artificial intelligence, now one of the most promising frontiers of medicine, has a long and tumultuous history punctuated by successes and failures. One of its successes was its application to medical images.
M. Avanzo +4 more
semanticscholar +1 more source
Prediction of higher-selectivity catalysts by computer-driven workflow and machine learning
Science, 2019 Predicting catalyst selectivity Asymmetric catalysis is widely used in chemical research and manufacturing to access just one of two possible mirror-image products.
Andrew F. Zahrt +5 more
semanticscholar +1 more source
PREDICTIVE ANALYSIS OF HEART DISEASES WITH MACHINE LEARNING APPROACHES
Malaysian Journal of Computer Science, 2022 Machine Learning (ML) is used in healthcare sectors worldwide. ML methods help in the protection of heart diseases, locomotor disorders in the medical data set.
Ramesh Tr +5 more
semanticscholar +1 more source
Predicting Scientific Success Based on Coauthorship Networks [PDF]
, 2014 We address the question to what extent the success of scientific articles is due to social influence. Analyzing a data set of over 100000 publications from the field of Computer Science, we study how centrality in the coauthorship network differs between
Garas, Antonios +4 more
core +1 more source
Prepared to Design Future Technologies: Students Study How to Build Computer Systems to Think for Themselves [PDF]
, 2019 Have you ever wondered how your cell phone unlocks just by using your face? How is it able to detect the difference between your face and someone else’s?
Dell\u27Agnese, Courtney
core +1 more source
REFORMS: Consensus-based Recommendations for Machine-learning-based Science
Science AdvancesMachine learning (ML) methods are proliferating in scientific research. However, the adoption of these methods has been accompanied by failures of validity, reproducibility, and generalizability.
Sayash Kapoor +18 more
semanticscholar +1 more source
Advancing Computational Toxicology by Interpretable Machine Learning
Environmental Science and Technology, 2023 Chemical toxicity evaluations for drugs, consumer products, and environmental chemicals have a critical impact on human health. Traditional animal models to evaluate chemical toxicity are expensive, time-consuming, and often fail to detect toxicants in ...
Xuelian Jia, Tong Wang, Hao Zhu
semanticscholar +1 more source
Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
Convex Analysis and Optimization with Submodular Functions: a Tutorial [PDF]
, 2010 Set-functions appear in many areas of computer science and applied mathematics, such as machine learning, computer vision, operations research or electrical networks.
Bach, Francis
core +3 more sources
Virtual Astronomy, Information Technology, and the New Scientific Methodology [PDF]
, 2005 All sciences, including astronomy, are now entering the era of information abundance. The exponentially increasing volume and complexity of modern data sets promises to transform the scientific practice, but also poses a number of common technological ...
Djorgovski, S. G.
core +1 more source