Results 31 to 40 of about 30,520,612 (308)
Emerging experimental and computational methods for studying redox‐regulated structural transitions
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source
UniRDMA : unified virtual RDMA for hybrid virtual environments
RDMA network is gaining popularity for high performance communication of distributed applications. As virtualiza tion has become the de-facto layer of datacenters, RDMA network also needs to be virtualized. It is common for the datacenter to have virtual
Dai Huasheng +5 more
doaj +1 more source
Breast tumor detection in ultrasound images using artificial intelligence
Leveraging artificial intelligence (AI) for categorizing breast tumors as malignant or benign from breast ultrasound images can provide an effective and relatively low-cost method for the diagnosis of breast cancer.
Subasi, Abdulhamit, Modi, Omkar
core +1 more source
Prospecting the protein design landscape
This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 more
wiley +1 more source
Breast cancer detection from mammograms using artificial intelligence
Breast cancer is one of the fastest-growing forms of cancer in the world today. Breast cancer is primarily found in women, and its frequency has been gaining significantly in the last few years.
Subasi, Abdulhamit +3 more
core +1 more source
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley +1 more source
Prospects and Challenges of Artificial Intelligence and Computer Science for the Future of Urology [PDF]
He J, Baxter SL, Xu J, Xu J, Zhou X, Zhang K (2019) The practical implementation of artificial intelligence technologies in medicine. Nat Med 25(1):30–36 CAS Article Google Scholar Frost and Sullivan 2016. From $600 M to $6 billion, artificial intelligence systems poised for dramatic market expansion in healthcare.
Suarez-Ibarrola, Rodrigo +1 more
openaire +2 more sources
Learning models of sequential decision-making with partial specification of agent behavior
Artificial agents that interact with other (human or artificial) agents require models in order to reason about those other agents’ behavior. In addition to the predictive utility of these models, maintaining a model that is aligned with an agent’s true ...
Shah, Julie A. +3 more
core +1 more source
CEACAM1 participation in breast cancer progression
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin +3 more
wiley +1 more source
Intelligent library systems: artificial intelligence technology and library automation systems [PDF]
Artificial Intelligence (AI) encompasses the following general areas of research: (1) automatic programming, (2) computer vision, (3) expert systems, (4) intelligent computer-assisted instruction, (5) natural language processing, (6) planning and ...
Bailey, Jr., Charles W.
core +1 more source

