Vascular sites have distinct susceptibility to disease. Here, through single cell epigenomic profiling and predictive machine ...

Importance/background The 12-lead ECG is recommended in clinical guidelines for prehospital assessment of patients with ...

Abstract: We study the data-driven finite-horizon linear quadratic regularization (LQR) problem reformulated as a semidefinite program (SDP). Our contribution is to propose two novel accelerated first ...

An analysis of patient responses to the CITAS and RINVR identified factors associated with taste alteration in patients with cancer treated with cisplatin.

Applied Computational Psychiatry Lab, Mental Health Neuroscience Department, Division of Psychiatry and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Department of Imaging ...

Objectives This study uses nationally representative survey data from the USA to estimate the relationship between a history of heart attack or stroke with the prevalence of mental health symptoms.

Introduction Identifying anxiety disorders in autistic youth can be challenging due to the unique presentation of anxiety symptoms in autistic youth and the difficulties youth may have reporting on ...

A software tool that uses machine learning techniques to predict whether a person has diabetes based on their medical data. This project involves creating a machine learning prediction solution for ...