Precision Medicine

The two-year study uses predictive models, developed for skin cancer diagnosis, to help detect eczema and enable the prevention of future allergies and diseases.

Investment in the AI platform on Microsoft Azure could accelerate multimodal data analysis and performance – and ultimately improve patient outcomes.

Realyze Intelligence, which launched in 2021, is working with Memorial Sloan Kettering Cancer Center to apply natural language understanding to real-world patient data.

During the pandemic, next-generation analytics has driven improvements in disease prevention, outbreak monitoring, and health management.

Working with Harvard and MIT, the company will help academic medical and pharma researchers build machine learning models for troves of healthcare data on the Terra cloud platform, advancing precision medicine.

The largest gift in the cancer center's history will fund a new building and an endowed scientific leader to enhance the development of technology-enabled precision therapies.

The precision medicine initiative will use real-world data from the Learning Health Network for clinical validation and refinement of cancer risk prediction models.

Clinicians can now order tests and access discrete biomarkers within the patient's electronic health record, rather than rely on PDF-based genetic testing results.

The funding will help launch four telehealth research centers that will focus on developing programs to reduce burdens on cancer patients, families and caregivers.

Care, data and connectivity as well as what Indonesia can learn from other nations to advance digital transformation in healthcare will be major themes at the HIMSS22 Asia-Pacific Conference happening from 26-29 September in Bali, Indonesia.