Hard disagree on the oversimplification. Drugs with R&D, certification and production belong to the most complex and hard product classes.. they are nothing like software.
Picking the right drug is a lottery game in itself that involves portfolio strategy, biologic modeling of your product efficacy and safety, optimization of yields, and "field testing". Then you still have to build the right distribution channels to the patient and find someone to pay for your product. Even reproducing drugs is not a trivial thing, as you need to re-certify production plants. In the case of biologics it is even more complicated.
Unless we burn enormous amounts of cash or set up specific incentives, there is not way we can bring primary socially motivated drugs to the market with the current risk structure of the industry.
Pharma is one of the most complex playing fields there is. The sad thing is that we might strongly overstimate the ability to significantly improve the development of new drugs through AI in the next 10 years.
Picking the right drug is a lottery game in itself that involves portfolio strategy, biologic modeling of your product efficacy and safety, optimization of yields, and "field testing". Then you still have to build the right distribution channels to the patient and find someone to pay for your product. Even reproducing drugs is not a trivial thing, as you need to re-certify production plants. In the case of biologics it is even more complicated.
Unless we burn enormous amounts of cash or set up specific incentives, there is not way we can bring primary socially motivated drugs to the market with the current risk structure of the industry.
Pharma is one of the most complex playing fields there is. The sad thing is that we might strongly overstimate the ability to significantly improve the development of new drugs through AI in the next 10 years.