Li, Y. and Liu, J. (2025) An Accessible Predictive Model for Alzheimer’s Disease Based on Cognitive and Neuropathological ...

Bowen and Seth Walder bring different perspectives into how they approach sports betting. A former NFL safety, Bowen predicts ...

Obesity is one of the most stubborn health challenges of our time, linked with diabetes, heart disease, sleep problems, and shortened lifespans. Doctors have long sought treatments that not only help ...

Findings indicate that while outdoor walking reduces frailty in older adults, maintaining these gains necessitates continuous ...

Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the ...

Objectives The development of simple tools to identify individuals at high risk of coronary heart disease (CHD) would enable rapid implementation of preventive measures. This study was designed to ...

Although washed microbiota transplantation (WMT) is a new faecal microbiota transplantation, a single therapeutic agent cannot be universally effective for multiple dysbiosis-related ... valerate ...

The Tab model is a system on the Cursor platform that provides developers with auto-completion suggestions. Its core lies in analyzing the context of the code to provide real-time relevant programming ...

Cursor stated in its blog that achieving a high acceptance rate involves not only making the model smarter but also understanding when to provide suggestions and when not to. To tackle this challenge, ...

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

Thus, Cursor used policy gradient methods, a reinforcement learning (RL) approach, to solve the problem. The model receives a ...

Abstract: This paper focuses on a multidimensional indicator prediction assessment method based on time series and multiple linear regression modelling. Through in-depth analysis of relevant data, ...