precision medicine

Scientists turn to machine learning and big data approaches for precision -omics in cancer research.

Innovative strategies drive stem cell repair of organ damage.

How robotics and automation provide a streamlined, consistent, and precise solution.

In this webinar event, Vivienne Watson from Amgen will answer questions that delve deeper into the entire podcast series.

Mat Robinson and Mark Tangney discuss how enhancing the efficacy of immune checkpoint inhibitors improves patient outcomes.

Researchers use organoid cultures in unique ways to study health and disease.

An expert panel will discuss how access to single-cell resolution has shed new light on stem cell behavior and differentiation mechanisms.

Beate Peter shares how her “scientific bilingualism” is the driving force behind her philosophy of science.

A new precision medicine approach is making life sweeter for infants unable to metabolize milk sugar.

A new benchtop microfluidic device generates patient-derived tumor micro-organospheres that allow for real-time cancer therapy decisions.

Take a break from the bench to puzzle and peruse

Analyzing the whole genome sequences of more than 18,000 tumors, researchers catalog nearly 60 new patterns of mutations that could inform cancer treatment.

Scientists combine medical care with biobanking and research to develop personalized treatments for cancer patients.

A guide to mRNA-based cancer vaccines and where they’re headed next

Probing the protein landscape in lung cancers reveals new therapeutic insights.

Jason Sheltzer discusses cancer mechanisms leading to drug resistance and new approaches to find drug targets.

A newly developed platform may one day replace cell culture and animal models to personalize cancer treatment.

After decades of research the potential of regenerative medicine becomes a life-saving reality.

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.