techniques, disease & medicine, cancer

A cancer patient who underwent the new fertility preservation procedure successfully gave birth five years after her immature eggs were collected.

Three-dimensional tissue cultures grown from cancer patients’ own tumors can predict responses to the drug irinotecan.

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.

Machine learning can analyze photographs of cancer, tumor pathology slides, and genomes. Now, scientists are poised to integrate that information into cancer uber-models.

This year’s winners also include the developers of nusinersen, an oligonucleotide therapeutic for spinal muscular atrophy.

The DNA-cutting enzyme used in the technique is not as precisely targeted as scientists had thought, and investors take notice.

Researchers plan to turn cancer cells into defectors, engineering them to kill the tumors from whence they came, and have tested the approach in mice.

Machine-learning algorithms tuned to detecting cancer DNA in the blood could pave the way for personalized cancer care.

Women with metastatic cancer who were treated with a checkpoint inhibitor had a smaller benefit than did men.