Mendel.ai nabs $2 million to match cancer patients with the latest clinical trials
And he was tired of trying to stay on top of the avalanche of clinical trials touting one solution or another. But rather than using keyword data, Mendal.ai uses an algorithm that understands the unstructured, natural language content within medical documents pulled from clinicaltrials.gov, and then compares it to a patient's medical record. He was tired of losing patients to cancer. The search process returns a fully personalized match and evaluates the patient's eligibility for each suggested treatment within minutes, according to Galil. Losing both patience and too many patients, Galil decided to create an organized and artificially intelligent system to match those under his care with the best diagnostic and treatment methods available.
Test gives accurate prognosis for breast cancer patients with 'ultralow' risk
Could a new test accurately predict survival rates for Breast cancer patients who fall within a specific category? A new test may help to identify breast cancer patients with the lowest risk of death, therefore helping them to avoid unnecessarily aggressive treatment. Breast cancer is currently the most common form of cancer in women, regardless of race or ethnicity. Breast cancer mortality trends have declined significantly during the past decade, largely due to public awareness campaigns that focus on early detection and prevention. The 20-year breast cancer-specific survival rate among ultralow risk patients was 97 percent among those who took tamoxifen, compared with 94 percent in the control group.collected by :Lucy William
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