This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …

Drug repositioning is the process of identifying novel therapeutic potentials for existing drugs
and discovering therapies for untreated diseases. Drug repositioning, therefore, plays an …

Textual information is becoming available in abundance on the web, arising the requirement
of techniques and tools to extract the meaningful information. One of such an important …

The number of scientific publications in the literature is steadily growing, containing our
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …

Background: Blood chemicals are routinely measured in clinical or preclinical research
studies to diagnose diseases, assess risks in epidemiological research, or use metabolomic …

With the acceleration of urban development, the amount of municipal solid waste (MSW) has
increased dramatically. In order to recycle MSW more efficiently, a compulsory policy of …

This article reviews recent advances in applying natural language processing (NLP) to
Electronic Health Records (EHRs) for computational phenoty**. NLP-based …

Cancer still represents one of the leading causes of death worldwide, resulting in a
considerable healthcare impact. Recent research efforts from the clinical and molecular …

The recent years have witnessed a rapid increase in the number of scientific articles in
biomedical domain. These literature are mostly available and readily accessible in …

Accuracy plays a vital role in the medical field as it concerns with the life of an individual.
Extensive research has been conducted on disease classification and prediction using …