Yes, I will venture to answer both your questions, because I had some time to think about it.
On the issue of bias, I would say that one of the strategies to minimize it in the medical field would be to use a large amount of data to reflect the target population, particularly in terms of gender, ethnicity or age group.
As far as discrimination is concerned, I think the best way to minimize it is to keep the human element in the equation and involve a doctor or other member of the care team. Indeed, in the end, health care is highly personalized and deeply affects privacy. Beyond the recommendation established by the algorithm on the basis of a large demographic sample, the decision made by the patient and physician will remain.