A computational tool has accurately predicted a drug combination that inhibited triple-negative breast cancer in in vitro experiments. Researchers at the Icahn School of Medicine at Mount Sinai (NY, ...
Explore the impact of drug discovery automation in 2026, addressing complexity and improving decision-making across ...
Bernice Asantewaa Kyere on modeling that immediately caught my attention. The paper titled “A Critical Examination of Transformational Leadership in Implementing Flipped Classrooms for Mathematics ...
Scientists may now be one step closer to understanding the inner logic of artificial intelligence (AI) models used for genomics thanks to a new tool from a group at Simons Center for Quantitative ...
A new computational tool allows researchers to understand how the diverse cell types of the human body are made during development, and how diseases progress over time at the cellular level.
Computational modeling and simulation of nanomaterials strongly complement physical experiments. They enable the prediction of characteristics and processes under conditions difficult to replicate or ...
In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...
Viruses, like those that cause COVID-19 or HIV, are formidable opponents once they invade our bodies. Antiviral treatments strive to block a virus or halt its replication. However, viruses are dynamic ...
Scientists have used computational tools, including machine learning, to differentiate between subtypes of rheumatoid arthritis. In this study, which was reported in Nature Communications, the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback