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:
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.
