Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...
Two-dimensional (2D) perovskites have emerged as promising optoelectronic materials. However, their practical and rational design is hindered by poor understanding of the relationship between the ...
AI/ML technologies are revolutionizing pharmaceutical formulation by optimizing excipient selection and predicting stability, reducing time and resources needed for development. Poor solubility of ...
Camrelizumab combined with rivoceranib and TACE in the perioperative treatment of hepatocellular carcinoma: A randomized, open-label multicenter trial. This is an ASCO Meeting Abstract from the 2025 ...
A machine learning algorithm based on multi-omics biomarkers for the detection of tumor microsatellite instability. This is an ASCO Meeting Abstract from the 2024 ASCO Annual Meeting I. This abstract ...
Summary A predictive maintenance model that processes data at high speed supports faster decision-making and real-time ...
Predictive models are used across the student life cycle in higher education, to gauge yield in admissions as well as retention and graduation initiatives, as campus leaders look to understand what ...