GitHub

MOOZY: A Patient-First Foundation Model for Computational Pathology

MOOZY is a foundation model for computational pathology that treats the patient case, not the individual slide, as the fundamental unit of representation. It encodes one or more whole-slide images ...
ascopubs.org

Leveraging Centralized Health System Data Management and Large Language Model–Based Data Preprocessing to Identify Predictors for Radiation Therapy Interruption

We analyzed demographic, behavioral, clinical, and neighborhood-level data for 2,130 patients treated with radiotherapy at the University of Tennessee Medical Center in Knoxville. Treatment ...
Laweekly

Varun Nakra: Mastering the Delicate Art of Interpretable Machine Learning Models

Artificial intelligence (AI) is a two-edged sword. While AI and machine learning (ML) models are powerful, they can be known to make egregious mistakes. For example, the integration of AI and ...
Frontiers

The impact of precompetition state on athletic performance among track and field athletes using machine learning

Precompetition absolute basophil, LDH, TG, white blood cells, creatine kinase, fat mass in the left upper limb, erythrocyte pressure (HCT), and individual failure anxiety can be used as training ...
C&EN

Allosteric Modulation of Thrombin by Thrombomodulin: Insights from Logistic Regression and Statistical Analysis of Molecular Dynamics Simulations

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted.
Scientific Research Publishing

Performance Comparison of Various Machine Learning Approaches to Identify the Best One in Predicting Heart Disease ()

1 Electronics and Communications Department, Al-Safwa High Institute of Engineering, Qalyubia, Egypt. 2 Electrical Engineering Department, Faculty of Engineering at Shoubra, Benha University, Cairo, ...