A Meta Muse AI platform analysis of a 4.95M-patient electronic health record identified 21 patients with confirmed or probable Cladophialophora bantiana infection, using brain or lung samples. The paper was published October 14, 2026, and examined the U.S. clinical cases after the MMWR reported on October 2, 2026 that identification of the fungus had increased in recent years at one reference laboratory. The MMWR said more data were needed to identify risk factors.

Of the 21 patients, 7 had the fungus identified in brain samples and 14 in lung samples. Among the 7 patients with brain infections, 2 died. The abstract says artificial intelligence can speed analysis of large datasets and make such analyses accessible to more researchers; it does not report specific risk factors or outcomes for the lung infection patients. The work is a clinical case series written by Ray Chen and based on electronic health record data; the abstract does not name the reference laboratory or provide further patient details such as age or treatment. It describes the cases as confirmed or probable, without stating how many fell into each category.

A Meta Muse AI platform analysis of a 4.95M-patient electronic health record identified 21 patients with confirmed or probable Cladophialophora bantiana infection, using brain or lung samples. The paper was published October 14, 2026, and examined the U.S. clinical cases after the MMWR reported on October 2, 2026 that identification of the fungus had increased in recent years at one reference laboratory. The MMWR said more data were needed to identify risk factors.

Of the 21 patients, 7 had the fungus identified in brain samples and 14 in lung samples. Among the 7 patients with brain infections, 2 died. The abstract says artificial intelligence can speed analysis of large datasets and make such analyses accessible to more researchers; it does not report specific risk factors or outcomes for the lung infection patients. The work is a clinical case series written by Ray Chen and based on electronic health record data; the abstract does not name the reference laboratory or provide further patient details such as age or treatment. It describes the cases as confirmed or probable, without stating how many fell into each category.