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Cancer Patients Are Getting Robotic Surgery. There’s No Evidence It’s Better.

Robotic surgery was never approved for mastectomy or any other cancer-related treatment, but that has hardly deterred doctors in the operating suite. The equipment is widely used to operate on patients with various malignancies, from breast cancer to prostate cancer.Yet there have long been questions about how well doctors are trained on the machines, and whether the devices are better for patients than traditional methods. Now the Food and Drug Administration has warned that there is no evidence cancer patients receiving robotic procedures live longer than those who have traditional procedures. And some research shows that patients with cervical cancer fare worse.“We want doctors and patients to…

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Top Cancer Researcher Fails to Disclose Corporate Financial Ties in Major Research Journals

Board of Directors ■ Aura Biosciences* (cancer startup) ■ Bristol-Myers Squibb ■ Foghorn Therapeutics (cancer startup) ■ Grail* (cancer testing startup) ■ Infinity Pharmaceuticals* (cancer startup) ■ Varian Medical Systems (radiation equipment) Scientific or Clinical Advisory Board ■ ApoGen Biotechnologies (cancer startup) ■ Aura Biosciences (cancer startup) ■ Grail (cancer testing startup) ■ Juno Therapeutics* ■ Northern Biologics (cancer startup) ■ Paige.AI (pathology startup) ■ Peptomyc* (cancer startup) ■ PMV Pharmaceuticals (cancer startup) ■ Seragon Pharmaceuticals* (breast cancer) Founder or Co-Founder ■ Mosaic Biomedicals* ■ Tango Therapeutics (cancer startup) Paid Consultant ■ AstraZeneca* ■ Eli Lilly* ■ Novartis* ■ Roche/Genentech*

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New Cancer Treatments Lie Hidden Under Mountains of Paperwork

Dr. Nikhil Wagle thought he had a brilliant idea to advance research and patient care.Dr. Wagle, an oncologist at the Dana Farber Cancer Institute in Boston, and his colleagues would build a huge database that linked cancer patients’ medical records, treatments and outcomes with their genetic backgrounds and the genetics of their tumors.The database would also include patients’ own experiences. How ill did they feel with the treatments? What was their quality of life? The database would find patterns that would tell doctors what treatment was best for each patient and what patients might expect.The holdup, he thought, would be finding patients. Instead, the real impediment turned…

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