Bionest

Driving CAR-T beyond oncology

Several companies and research institutions are developing potential CAR-T treatments for non-cancer indications, from heart disease to viral infection.

Bionest

ESMO 2019: Translating Science into Better Cancer Care

The field of oncology has seen a number of significant advances in recent years. The considerable number of positive reports from the 2019 Congress of the European Society for Medical Oncology (ESMO) last month clearly reflected the meeting’s theme — the translation of scientific advances into better cancer care.   AstraZeneca/Merck was one of stars...

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New Strategies Against a Hard-to-Treat Killer — Pancreatic Cancer

Pancreatic cancer was the third leading cause of cancer-related death in the United States in 2018. This year, experts estimate that 56,770 new cases will be diagnosed and 45,750 deaths will be recorded. Pancreatic cancer is especially lethal because in its early stages, when the disease is easiest to treat, patients are usually asymptomatic. The disease...

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New Approvals for Tumor-Agnostic Cancer Treatments — and the Questions They Raise

On August 15, the U.S. Food and Drug Administration granted accelerated approval to Genentech/Roche’s Rozlytrek (entrectinib) for the treatment of adult and adolescent patients with solid tumors that exhibit neurotrophic tyrosine receptor kinase (NTRK) fusions and for whom there are no existing effective treatments. While NTRK fusions are rare, appearing in about 1% of solid...

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New Excitement About Antibody-Drug Conjugates in Cancer

The ability to target malignant cells without damage to surrounding healthy ones has been a long-sought goal in cancer drug development. Antibody-drug conjugates (ADCs) have been investigated as one such solution aimed at delivering more targeted therapies. ADCs — an approach first envisioned by Paul Ehrlich in the early 20th century — combine the targeting...

Bionest

AI Aiding Earlier, More Accurate Cancer Screening

Recent research clearly illustrates the potential that artificial intelligence (AI) and deep learning systems offer for improving the detection and diagnosis of cancer, whether from radiological images or tissue analysis. While further clinical validation of such systems is needed before they can be reliably deployed in medical practice, they are expected to benefit patient care...