Non-Invasive Bio-impedance Belt For Heart Failure Patients
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The DIAG vertical started its operations in July 2021 primarily focusing in the field of Modern Machine Learning methods applied to Oncology and Pathology in collaboration with Medical experts.
The main aim of the Public Health vertical is to provide 100% On-demand Coverage (People & Conditions) for a rural primary healthcare center using modern machine learning techniques for early screening and detection of non-communicable diseases.
Cerebrovascular disorders and Mental health conditions in the top NCD burden in India. Difficult to predict proneness to Stroke, especially recurrence. Rehabilitation follow-up is critical for optimal recovery after Stroke.
The traditional drug discovery process, right from the detection of a disease to the launch of the drug in the market, is extensive, involving various specialists at different stages, making it time consuming and expensive.
AnaVu enhances 3D visualization of human anatomy, providing a more effective means for medical college students to grasp the intricate spatial relations crucial for their studies. Precise structure and tractography rendering from In Vivo Images of MRI scans provide precise rendition of underlying anatomy.
The device accurately determines total body water, offering crucial insights into fluid distribution during cardiac surgeries. This could reduce postoperative complications and hospital stays, potentially alleviating the economic burden on patients and healthcare systems.
IPD is a digital whole slide image library of histopathology and cytology to drive innovation in pathology research, education, and technology development. IPD will be an invaluable resourcefor researchers to develop AI-based solutions for improving patient diagnosis, prognosis, and treatment.
The app screens and detects oral cancer and is integrated with data collection features. Our AI model improves the early detection of cancer through E2E screening/Data collection. 3600+ people in rural North East India benefitted from the app as a means of early pre-screening and diagnosis.