Yes, ML has been applied to all those topics, but to narrow/superficial applications & with limited success (in most of those areas, any how). The applications have also been explored in relatively ad-hoc ways, with little improvement in systematic understanding/knowledge of any of those fields.

If you had any idea about medical diagnosis, biomedical research, supply chain optimization, politics and journalism you would know that machine learning is a laughing stock in these fields.

ML had 2 big wins: (image & data) Classification & NLP. It is stupid to not use ML for these problems, but it equally stupid to try to fit ML in fields that it cannot work.