Browsing Category: Cancer

AI decodes brain tumor DNA during surgery

Kun-Hsing Yu and HMS colleagues used AI to rapidly determine a brain tumor’s molecular identity during surgery, propeling the development of precision oncology. The tool is CHARM (Cryosection Histopathology Assessment and Review Machine.) Currently, genetic sequencing takes days to weeks.   Accurate molecular diagnosis during surgery can help a neurosurgeon decide how much brain tissue […]

AI predicts pancreatic cancer

Harvard professor Chris Sander used clinical data from 6 million patients in Denmark’s national health system and 3 million in the U.S. VA system to train an AI model to predict the occurrence of pancreatic cancer within 3, 6, 12, and 36 months. This could allow wider screening for the aggressive disease, which is often […]

Wearable sensor evaluates human tissue stiffness

Sheng Xu and colleagues have developed a wearable, stretchable device that non-invasively evaluates the stiffness of human tissue, at an improved penetration depth, and for a longer period than, existing methods. An ultrasonic array facilitates serial, non-invasive, three-dimensional imaging of tissues, four centimeters below the surface of human skin, at a spatial resolution of 0.5 […]

AI catches breast cancer earlier, more often than traditional screening alone

The mammography screening paradigm has not changed since the 1960s. Breast screening AI company Vara, with Essen University and Memorial Sloan Kettering hospitals, published a study showing that radiologists assisted by AI are better able to screen for breast cancer. The hope is that AI systems could detect cancers that doctors miss, provide better care […]

MSK developed sensor detects molecular signature of cancer; compared to human scent

Mijin Kim and Daniel Heller of the Nanomedicine Lab at Memorial Sloan Kettering Cancer Center have developed an array of carbon nanotube sensors that can “sniff” cancer using AI. The human nose can detect a trillion different scents, through hundreds of olfactory receptors. The pattern which odor molecules bind to which receptors creates a kind […]

AI for (much) earlier breast cancer detection – Constance Lehman

Connie Lehman — Professor, Radiology, Harvard Medical School; Chief of Breast Imaging, radiology, Massachusetts General Hospital; Co-director of AVON Breast Center, Radiology, Massachusetts General Hospital; and Director, Breast Imaging Research Center, Radiology, Massachusetts General Hospital spoke at ApplySci’s recent conference at Harvard Medical School. Click to listen to her talk on using AI to discover breast cancer 5 years […]

PET scan tracer detects both cancer and lung disease

Stanford’s Sanjiv Gambhir has developed an imaging molecule that can identify pancreatic, cervical and lung cancer early– and, surprisigly, hard-to-detect idiopathic pulmonary fibrosis.  The tracer clings to integrin alpha-v beta-6. In a PET scan, the tracer glows due to radioactivity emissions, which allows doctors to see exactly where the tracer is docked in the body. A […]

Infrared light detects tumors under the skin

Stanford’s Hongjie Dai has developed a deep-tissue imaging technique that clearly illuminates tumors beneath the skin.  It relies on nanoparticles containing erbium,  which glows in the infrared.  The promising technology has only been tested on mice, so far. In a study, the technique was used to predict cancer patient response to immunotherapy, and to measure drug […]