Looks like it's coming out solidly in the pro-software-patent camp.
Looks like it's coming out solidly in the pro-software-patent camp.
The options for fixing it are A. Reform the entire judicial system so that one guy can take on a foreign multinational and win if he's right, and also get the patent office to stop granting trivial or overly broad patents to protect small businesses from abusers, or B. Weaken IP law so that we get fewer of the abuses, under the theory that we aren't getting the benefits now anyways. (If a system promises benefits but delivers abuses, it can be advantageous and much more practical to get rid of the system, even if reforming it would be better.)
Google has a significant patent attorney preparation and prosecution team on its payroll, and they can afford to draft patent applications which have all the enablement and "possession of the invention" text in their patent applications. At the intersection of biotech and AI, this is a significant hurdle to overcome for the solo or bootstrap inventor/innovator.
Applying algorithms to a variety of biotech platforms (genetics, genomics, bioinformatics, single nucleotide polymorphism (SNP), mutation, etc.) is a real challenge for a number of reasons. First, the difference amongst us human beings (a difference in phenotype) is a real challenge for algos to train on, and is dependent upon the underlying datasets or combination of datasets. Second, it's difficult to integrate the algos into existing Hospital Information Systems (HIS).
You can check out these following links for some explanation on this technology convergence and patent prosecution strategy:
https://torreypineslaw.com/convergence-technology-patent-att...
https://www.ipwatchdog.com/2021/01/27/artificial-intelligenc...
https://www.thepharmaletter.com/article/artificial-intellige...
Google has solved some of these problems, whether from its dominant capital position or deep patent prep/pros team, so can successfully obtain granted patents in this technical field.