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AI-driven models also help in identifying the most effective treatment regimens based on patient-specific factors, including genetic makeup and treatment history. RELATED: OncoHealth Expands Its Iris Platform for Digital Cancer Care BigData and AI in Oncology Bigdata analytics is opening new avenues in cancer research.
With the help of artificial intelligence (AI) and individual geneticdata, the software predicts the potential effects drugs have on specific genetic markers. The startup enables structured end-user data acquisition and involves the necessary stakeholders such as pharmacists, doctors, patients, and manufacturers.
Patients were unable to see their doctors, hospitals canceled appointments, and healthcare systems struggled with the monumental task of shifting their services online. In healthcare, despite many efforts, there is no true BigData yet. Instead, there is lots of “little data” spread across many disparate systems.
Services such as Personal Health Records and diagnostic apps collect, store and analyse patient data, which assists healthcare practitioners with diagnosis as well as enabling them to create tailored treatment plans based on the needs of the patient.
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