Metastatic Prostate Cancer Interventions added to androgen-deprivation therapy in men with
metastatic prostate cancer have recently been noted to increase survival. Decisions about …

Our understanding of the molecular mechanisms underlying cancer development and
evolution have evolved rapidly over recent years, and the variation from one patient to …

Many approaches to identify therapeutically relevant neoantigens couple tumor sequencing
with bioinformatic algorithms and inferred rules of tumor epitope immunogenicity. However …

Segmentation of abdominal organs has been a comprehensive, yet unresolved, research
field for many years. In the last decade, intensive developments in deep learning (DL) …

In-depth modeling of the complex interplay among multiple omics data measured from
cancer cell lines or patient tumors is providing new opportunities toward identification of …

Improved risk stratification and prognosis prediction in sepsis is a critical unmet need.
Clinical severity scores and available assays such as blood lactate reflect global illness …

Background Artificial intelligence (AI) has the potential to transform our healthcare systems
significantly. New AI technologies based on machine learning approaches should play a key …

Historically, the term “artificial intelligence” dates to 1956 when it was first used in a
conference at Dartmouth College in the US. Since then, the development of artificial …

Purpose Prostate cancer classification has a significant impact on the prognosis and
treatment planning of patients. Currently, this classification is based on the Gleason score …

The clinical translation of promising products, technologies and interventions from the
disciplines of nanomedicine and cell therapy has been slow and inefficient. In part …