Multi-layer ensembles of neural subnetworks are disclosed. Implementations can classify inputs indicating various anomalous sensed conditions into probabilistic anomalies using an anomaly
subnetwork. Determined probabilistic anomalies are classified into remedial application triggers invoked to recommend or take actions to remediate, and / or report the anomaly. Implementations can select a report type to submit, or a report recipient, based upon the situation state, e.g., FDA: Field Alert Report (FAR),
Biological Product Deviation Report (BPDR), Medwatch, voluntary reporting by healthcare professionals, consumers, and patients (Forms 3500, 3500A, 3500B, Reportable Food Registry, Vaccine Adverse Event
Reporting System (VAERS), Investigative
Drug /
Gene Research Study Adverse Event Reports, Potential
Tobacco Product Violations Reporting (Form 3779), USDA:
APHIS Center for Veterinary Biologics Reports, Animal and
Plant Health Inspection Service: Adverse Event Reporting, FSIS Electronic
Consumer Complaints, DEA Tips, Animal
Drug Safety Reporting,
Consumer Product Safety Commission Reports, State / local reports: Health Department, Board of
Pharmacy.