This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...
This manuscript makes a valuable contribution to understanding learning in multidimensional environments with spurious associations, which is critical for understanding learning in the real world. The ...
Background Recent cardiovascular risk equations from the USA and United Kingdom use routinely collected electronic medical records (EMRs), while current equations used in Australia (AusCVDRisk) have ...
Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...
Decision-making for the optimal management of traumatic knee injuries can be challenging. Clinical trials reveal only small ...
Objectives To examine state-level variation in mental health screening practices for high school athletes in the USA and ...
Namagwa, S. (2025) Governance, Risk, and Regulation: A Framework for Improving Efficiency in Kenyan Pension Funds. Journal of Financial Risk Management, 14, 428-455. doi: 10.4236/jfrm.2025.144023 .
Short set configurations attenuate cardiovascular responses, reduce perceived exertion and allow for greater mechanical ...
Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. Regression analysis ...
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
The key is to balance offense and defense. by Leandro DalleMule and Thomas H. Davenport More than ever, the ability to manage torrents of data is critical to a company’s success. But even with the ...
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