As a cautious swimmer slips slowly into the cool waters of a giant swimming pool so do biopharma executives: They tread into the murky abyss known as artificial intelligence (AI).
Artificial intelligence (AI) is a technology that takes over when the human brain has reached its limit. For medical technology companies, it could help in the creation of more precise tools and devices that support diagnostic, therapeutic and surgical decisions. Instead of shooting an arrow into the sky, the bullseye target is clear, backed up by volumes of data and a machine learning algorithm designed to pinpoint the biomarker, the abnormality and the probability of success.
TEL AVIV, Israel – Generating all kinds of data that can feed artificial intelligence (AI) and machine learning engines is increasingly cheap and, in many ways, easy but interpreting all that data and translating it into information that is useful to users that range from drug developers to patients remains a significant challenge. Addressing this challenge has blurred the boundaries between traditional technology companies and medical technology companies and forced a rethinking of how treatments are provided, and drugs are developed. And the challenge also creates opportunities for companies that can address this gap.