Data processing and learning has become a spearhead for the advancement of medicine,
with pathology and laboratory medicine has no exception. The incorporation of scientific …

In the rapidly growing world of technology and evolution, the outbreak and emergences
diseases have become a critical issue. Precaution, prevention and controlling the diseases …

Artificial intelligence (AI) has contributed substantially to the resolution of a variety of
biomedical problems, including cancer, over the past decade. Deep learning, a subfield of AI …

The extensive growth of data in the health domain has increased the utility of Deep Learning
in health. Deep learning is a highly advanced successor of artificial neural networks, having …

Artificial intelligence is highly regarded as the most promising future technology that will
have a great impact on healthcare across all specialties. Its subsets, machine learning, deep …

The need for time and attention given by the doctor to the patient, due to the increased
volume of medical data to be interpreted and filtered for diagnostic and therapeutic purposes …

High levels of microsatellite instability (MSI‐H) occurs in about 15% of sporadic colorectal
cancer (CRC) and is an important predictive marker for response to immune checkpoint …

Artificial intelligence is a broad field that comprises a wide range of techniques, where deep
learning is presently the one with the most impact. Moreover, the medical field is an area …

Biomolecular simulations are intrinsically high dimensional and generate noisy data sets of
ever-increasing size. Extracting important features from the data is crucial for understanding …

Background HIV and sexually transmitted infections (STIs) are major global public health
concerns. Over 1 million curable STIs occur every day among people aged 15 years to 49 …