On Cancer: Computational Oncology

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32 Blog posts found

Finding

Machine Learning May Help Classify Cancers of Unknown Primary

MSK investigators report a new tool that may help them determine the origin of some metastatic tumors, potentially leading to better targeted treatments.

Illustration of a magnifying glass and DNA sequences

In the Lab

One at a Time: New Tool Can Detect Genetic Changes in Thousands of Single Cancer Cells

Developed by scientists at MSK and the University of British Columbia/BC Cancer, the platform provides the deepest look yet into tumor evolution.

DLP+ in action

In the Lab

Researchers Report Milestone in Use of Artificial Intelligence in Pathology

MSK researchers developed an artificial intelligence system to detect cancer on digitized microscope slides.

Thomas Fuchs

Finding

Whether a BRCA Mutation Leads to Cancer Depends on Context, Study Finds

Sometimes a BRCA mutation is just along for the ride, rather than driving a tumor’s development.

Computational biologist Barry Taylor

In the Lab

Scientists Rewrite the Textbook of Organ Development, One Cell at a Time

A large study that analyzed nearly 120,000 cells in a developing mouse embryo is full of surprises.

In this fluorescent microscopy image of endoderm tissue from a mouse embryo, cell membranes are red, cell nuclei are blue, and extra-embryonic endoderm cells are green (they appear turquoise because blue and green are merged).

Feature

The Convergence: Scientists Move toward a New Understanding of Metastatic Cancer

Through converging lines of research in stem cell biology, tissue regeneration, and immunity, Sloan Kettering Institute scientists are learning what makes metastatic cancer cells tick.

Karuna Ganesh

In the Lab

What Was MSK’s Role in TCGA, the Groundbreaking Cancer Genomic Study?

The multicenter project, which yielded dozens of scientific papers on more than 30 different kinds of cancer, has officially drawn to a close.

Illustration of DNA base pairs