How AI/ML is Revolutionizing Cancer Diagnosis and Treatment
Man-made consciousness (computer-based intelligence) and AI (ML) can work on the precision of disease diagnostics by breaking down information from blood tests
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AI/ML can use genetic and lifestyle information to predict a patient's likelihood of developing cancer and how cancer will respond to treatment.
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Simulated intelligence/ML can benefit challenging dealing with malignant growths like glioblastoma multiforme (GBM), ovarian disease, and non-little cell cellular breakdown in the lungs (NSCLC).
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GBM is one of the deadliest cancers, and predicting its progression is challenging without a roadmap for cancer growth.
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Researchers developed a method combining mathematical models with AI to predict patient-specific tumor progression.
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With more data, physicians could utilize software that takes MRI images of a patient's tumor and uses those images to predict future tumor growth.
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Ovarian cancer is often diagnosed at a late stage when survival rates are low.
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Israeli femtech company Gina Life takes a different approach to detecting ovarian cancer by using vaginal secretions and a panel of unique, proprietary biomarkers supported by AI.
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AI/ML can play a vital role in directing treatment, such as PD-1/PD-L1 inhibitors for non-small cell lung cancer.
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The test is that doctors don't have great biomarkers for immunotherapy, and a large part of the work depends on clinical experience and experimentation.