Roche, the Swiss pharmaceuticals giant, is caught in a race against time. After making a big bet on breakthrough drugs and personalized medicine, the company has spent much of the last 18 months thinking ahead to the challenges that machine learning and artificial intelligence pose to a traditional, integrated pharmaceutical business model.
To what extent can StatDx's machine learning tool help improve radiologists' efficiency and accuracy?
Natural Cycles is a leader in the innovative field of digital contraceptives and fertility tracking devices, but can its success be sustained after news of unexpected pregnancies among users?
EHR and billing services provider athenahealth uses machine learning to automate administrative tasks – how can they use their unique market position to add more value for their clients?
Machine-learning driven advancements in healthcare have promised much but left us waiting. Will the UK National Health Service's latest effort fare any better?
Can Verb Surgical use advanced robotics and machine learning to deliver high quality surgical care to the 5 billion [16] people around the world who desparately need it?
While most hospitals are slow to adopt technology, the Mayo Clinic has made strides to implement digital supply chain tools that have saved costs while improving patient outcomes.
Aetna is using digital technologies to create efficiencies in the health insurance supply chain.
A digitized supply chain in pharma has unfortunately failed to mitigate the growing opioid crisis in America. Can it and will it?
The healthcare supply chain needs to be optimized. How can companies utilize big data to reduce costs for those involved?
