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Online education has strongly developed during the COVID-19 pandemic. While public schools in Japan were off to a slow start, China became a pioneer in online education under the policy of "classes stop but learning continues." On the other hand, this drastic educational reform was painful, although the situation was better than in Japan. In this paper, we present both relevant literature and local examples in order to consider from various perspectives.

For Chinese people, study abroad is an important matter. During the COVID-19 pandemic, many countries implemented travel regulation policies. Except for the early part of 2020, however, long term residents, including international students, were allowed to enter Japan. Despite the COVID pandemic, some of the degree program students entered Japan from abroad. In addition, as soon as the international travel regulations ended, a huge number of non-degree students including kenkyusei（ research students） and language program students rushed to Japan.

本稿では、まず人工知能の根幹に係る一般パターン認識の問題を明らかにするとともに、その解決に有用な統計的パターン認識とそれを発展させた離散Bayes識別則を概説する。次に離散Bayes識別則の個別化医療への応用としての診断・予測問題と創薬における治験問題に言及する。