NEWS not generally know-developing

Abstract: Existing public health surveillance systems that rely on predefined symptom categories, or syndromes, are effective

at monitoring known illnesses, but there is a critical need for innovation in “presyndromic” surveillance that de-

tects biothreats with rare or previously unseen symptomology. We introduce a data-driven, automated machine

learning approach for presyndromic surveillance that learns newly emerging syndromes from free-text emergency

department chief complaints, identifies localized case clusters among subpopulations, and incorporates practi-

tioner feedback to automatically distinguish between relevant and irrelevant clusters, thus providing personal-

ized, actionable decision support. Blinded evaluations by New York City’s Department of Health and Mental

Hygiene demonstrate that our approach identifies more events of public health interest and achieves a lower

false-positive rate compared to a state-of-the-art baseline.

PDF link below

Dr. Hotez shares his view of the current outbreak and the possible future of American vaccination standing.

https://www.acpjournals.org/doi/10.7326/ANNALS-25-01730

Dr. James Lawler weekly update on various infectious disease issues.  Worth the listen.

https://www.unmc.edu/healthsecurity/health-emergencies/index.html

The rapid development of AI is leading the global populace down an uncharted path. The risks are real, read the essay listed in the downloads section.

The Birth of the Techno Serf

See Pdf link below

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