News

Human-AI relationships: New scale measures our attachment patterns
Artificial intelligence (AI) is ubiquitous in this era. As a result, human-AI interactions are becoming more frequent and ...
News-Medical.Net13d
Why Drug Discovery Needs Robots and Artificial Intelligence
Artificial intelligence and robotics are revolutionizing drug discovery by automating laboratory processes and enabling rapid ...
BMJ3mon
Advancing Alzheimer’s disease risk prediction: development and validation of a machine learning-based preclinical screening model in a cross-sectional study
This study aimed to develop a convenience, efficient prediction model for AD risk using machine learning techniques ... utilised Random Forest and Extreme Gradient Boosting (XGBoost) algorithms ...
BMJ5mon
Differentiating Alzheimer’s disease from mild cognitive impairment: a quick screening tool based on machine learning
Machine learning approaches including XGboost ... and social workers to make it easier to roll out screening in the population. To our knowledge, no published articles have revealed a scale-based ML ...
Scientific Research Publishing7mon
Predictive Analytics for Project Risk Management Using Machine Learning ()
1.2. Contribution of Study This research makes a great contribution to the existing body of knowledge regarding project risk management by creating an approach based on the machine learning algorithm ...
C&EN7mon
Machine Learning-Driven Data Valuation for Optimizing High-Throughput Screening Pipelines
We demonstrate that importance-based methods enable more effective batch screening, reducing the need for extensive HTS. Machine learning models accurately ... of the excluded training sample. The ...
jnis.bmj9mon
Machine learning and acute stroke imaging
Background In recent years, machine learning (ML) has had notable success in providing ... As an example, consider an algorithm screening all non-contrast head CT scans to detect LVO. The frequency of ...
ahajournals.org11mon
Systematic Review and Meta‐Analysis of Prehospital Machine Learning Scores as Screening Tools for Early Detection of Large Vessel Occlusion in Patients With Suspected Stroke
Enhanced detection of large vessel occlusion (LVO) through machine learning (ML) for acute ischemic stroke appears promising. This systematic review explored the capabilities of ML models compared ...
IEEE1y
Using Machine Learning to Construct a Simplified Scale for Assessing Mental Status Among Undergraduates
Early psychological risk screening is helpful in identifying ... The study evaluated the performance of four machine learning algorithms under varying numbers of items. Through this approach, the ...
marktechpost1y
MIT Researchers Unveil InfoCORE: A Machine Learning Approach to Overcome Batch Effects in High-Throughput Drug Screening
Recent studies have shown that representation learning has become an important ... Extensive tests on drug screening data have shown that InfoCORE performs better than other algorithms on a variety of ...
IEEE1y
From Regression to Classification: Fuzzy Multikernel Subspace Learning for Robust Prediction and Drug Screening
Abstract: Data-driven machine learning is increasingly involved in human life and industrial development due to its large-scale testing and low time cost. However, existing learning algorithms are ...