Multi-omics data integration is one of the major challenges in the era of precision medicine.
Considerable work has been done with the advent of high-throughput studies, which have …

Full integration of oncology and palliative care relies on the specific knowledge and skills of
two modes of care: the tumour-directed approach, the main focus of which is on treating the …

Highlights•This ESO-ESMO ABC 5 Clinical Practice Guideline provides key
recommendations for managing advanced breast cancer patients.•It provides updates on …

Importance Observational studies demonstrate links between patient-centered
communication, quality of life (QOL), and aggressive treatments in advanced cancer, yet few …

Deep learning (DL) has achieved state-of-the-art performance in many digital pathology
analysis tasks. Traditional methods usually require hand-crafted domain-specific features …

Background This is the third update of a review that was originally published in the
Cochrane Library in 2002, Issue 2. People with cancer, their families and carers have a high …

Purpose Despite communication skills training in medical school, junior doctors continue to
demonstrate poor patient-doctor communication skills, where patient unhappiness from the …

Machine learning is a branch of artificial intelligence that employs a variety of statistical,
probabilistic and optimization techniques that allows computers to “learn” from past …

Looking for a practical, comprehensive overview of Qualitative Research Methods? Want to
know the best approach to take for you and your research project? This book takes you …

Volunteer computing based data processing is a new trend in healthcare applications.
Researchers are now leveraging volunteer computing power to train deep learning networks …