Latest AI and machine learning research in alternative medicine for healthcare professionals.
In order to discuss the clinical characteristics of patients with scapular fracture, deep learning m...
The concentration of soluble salts in surface water and rivers such as sodium, sulfate, chloride, ma...
The complexity of transplant medicine pushes the boundaries of innate, human reasoning. From network...
BACKGROUND: True evidence-informed decision-making in public health relies on incorporating evidence...
Enzymes play essential roles in all life processes and are used extensively in the biomedical and bi...
An aging population and technology are two rapidly evolving phenomena occurring simultaneously world...
The COVID-19 outbreak began in December 2019 and has dreadfully affected our lives since then. More ...
Innovations in health care are growing exponentially, resulting in improved quality of and access to...
Harmonized language is critical for helping researchers to find data, collecting scientific data to ...
Genetics play an important role in opioid use disorder (OUD); however, few specific gene variants ha...
Genome-wide loss-of-function screens have revealed genes essential for cancer cell proliferation, ca...
BACKGROUND: Interest in the application of machine learning (ML) to the design, conduct, and analysi...
Intrinsically disordered proteins (IDPs) constitute a broad set of proteins with few uniting and man...
OBJECTIVE: Early postural instability (PI) is a red flag for the diagnosis of Parkinson's disease (P...
Deep convolutional neural network (DCNN) has proved to be a promising tool for identifying organic c...
We propose an interpretable and lightweight 3D deep neural network model that diagnoses anterior cru...
A growing body of evidence currently proposes that deep learning approaches can serve as an essentia...
Anti-PD-1 immunotherapy has recently shown tremendous success for the treatment of several aggressiv...
The recent deluge of genome-wide technologies for the mapping of the epigenome and resulting data in...
Immunofixation Electrophoresis (IFE) analysis is of great importance to the diagnosis of Multiple My...
Remote sensing techniques have been applied to monitor the spatiotemporal variation of harmful algal...