Genetic diagnosis of rare diseases requires accurate identification and interpretation of genomic variants. Clinical and molecular scientists from 37 expert centers across Europe created the Solve-Rare Diseases Consortium (Solve-RD) resource, encompassing clinical, pedigree and genomic rare-disease data (94.5% exomes, 5.
View Article and Find Full Text PDFOver the past decade, new in vitro biological models have emerged which can reproduce certain characteristics of human physiology and pathologies. From organoids to organs-on-chips, these new technologies are currently revolutionizing the entire chain of research and development in pharmacology. All stakeholders are thus involved, from academic laboratories to pharmaceutical companies, start-ups, and assessment agencies.
View Article and Find Full Text PDFPredicting whether a patient with cancer will benefit from immune checkpoint inhibitors (ICIs) without resorting to advanced genomic or immunologic assays is an important clinical need. To address this, we developed and evaluated SCORPIO, a machine learning system that utilizes routine blood tests (complete blood count and comprehensive metabolic profile) alongside clinical characteristics from 9,745 ICI-treated patients across 21 cancer types. SCORPIO was trained on data from 1,628 patients across 17 cancer types from Memorial Sloan Kettering Cancer Center.
View Article and Find Full Text PDFContext.—: Morphologic evaluation of peripheral blood smears provides valuable information to diagnose and manage a variety of hematologic disorders.
Objective.