Applying data science and enhanced AI to improve decision-making in healthcare

Precision Medicine is nothing less than the largest paradigm shift in medicine ever. The advent and ever-growing understanding of molecular information is the newest and the richest dimension in medicine. In combination with novel artificial intelligence and machine learning (AI/ML) technologies it creates a totally new approach for prognostic and predictive in silico science that can guide some of the most promising yet most challenging domains of precision medicine:

• Diagnosis and Therapy Decision Support,
• Drug Discovery, Drug Development and Drug Commercialization,
• Value-based Pricing and Reimbursement,
• Overall improvement of healthcare and disease understanding and management at transparent cost and lower prices.

Big Data is not the main challenge. It is data quality, which puts emphasis on curation. Other domains that stand out as success factors: real-time clinical and molecular analytics, AI models customized for biomedicine, and possibly blockchain-like processing structures.

Since 2004, Molecular Health has stood for transforming big data into precise, actionable decisions for all stakeholders in healthcare. Our cloud-based Dataome technology platform analyzes the molecular and clinical data of individual patients against the world’s medical, biological, and pharmacological knowledge, to drive more precise diagnostic, therapeutic, and drug safety decisions.

Our products are used across the healthcare sector, as more precise ways of practicing medicine impact the treatment of patients and the development of effective drugs, requiring ever more complex levels of data interpretation.