Latest AI and machine learning research in medicare for healthcare professionals.
We present an easy-to-use integrated software suite, DIA-NN, that exploits deep neural networks and ...
Copy number variants (CNV) are associated with phenotypic variation in several species. However, pro...
Soft hand exoskeletons offer a lightweight, low-profile alternative to rigid rehabilitative robotic ...
Typical analyses of mass spectrometry data only identify amino acid sequences that exist in referenc...
To evaluate the risk-of-hospitalization (ROH) models developed at Blue Cross Blue Shield of Louisia...
Artificial intelligence (AI) is a hot topic in digital health, as automated systems are being adopte...
OBJECTIVE: The objective is to develop and validate a predictive model for 15-month mortality using ...
To conduct a survey on the research and development of cable-driven rehabilitation devices (CDRDs)....
A central challenge in human genomics is to understand the cellular, evolutionary, and clinical sign...
An accurate prediction of achievable dose distribution on a patient specific basis would greatly imp...
Applying data mining and machine learning (ML) techniques to clinical data might identify predictive...
The recovery of the orthostatism after a severe acquired brain injury (sABI) is an essential objecti...
There have been many attempts to identify relationships among concepts corresponding to terms from b...
We consider causal inference in observational studies with choice-based sampling, in which subject e...
A major limitation of RNA sequencing (RNA-seq) analysis of alternative splicing is its reliance on h...
This study reviews the technique of convolutional neural network (CNN) applied in a specific field o...
Biometric authentication is the process of recognizing a person by means of his\her psychological or...
The interactive adjustment of the optimization objectives during the treatment planning process has ...
IMPORTANCE: Current approaches to identifying individuals at high risk for opioid overdose target ma...
Computational prioritization of chemicals for potential skin sensitization risks plays essential rol...
Health care organizations are leveraging machine-learning techniques, such as artificial neural netw...