This year’s crop of winning products features many with a clinical focus and others that represent significant advances in sequencing, single-cell analysis, and more.
Analyzing the whole genome sequences of more than 18,000 tumors, researchers catalog nearly 60 new patterns of mutations that could inform cancer treatment.
Clive Svendsen, Meritxell Huch, Ameen Salahudeen, and Maksim Plikus will discuss the latest advances in using patient-derived stem cells to create more accurate disease models.
Some of the blood specimens collected in the United States for the NIH’s All of Us research program starting on January 2, 2020, have antibodies against SARS-CoV-2.
The three-dimensional cell cultures are still in the development phase, but researchers are excited about their use to predict patients’ responses to various treatment options.
Eric Topol,
founder and director of Scripps Research
Translational Institute and Reading
Frames author, discusses the future of
the doctor-patient bond in an era of
artificial intelligence–driven medicine.
Comparing the cells of cancer patients who did and did not respond to the immunotherapy could reveal biomarkers to predict who should receive it in the first place.
The expression of a slew of genes in psychiatric patients closely tracks pain intensity and predicts future emergency room visits, according to a study.
Jasreet Hundal and Elaine R. Mardis | Jul 15, 2019 | 10+ min read
The field is young, but predicting antigens produced by patients’ malignant cells could yield successful treatments for individuals with a range of cancer types.
Jasreet Hundal and Elaine R. Mardis | Jul 15, 2019 | 6 min read
There are currently more than two dozen ongoing Phase 1 and Phase 2 trials using different vaccine platforms such as DNA, RNA, synthetic long peptides, and dendritic cells.