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DESCRIPTION:Benchmark Existing Models and Interrogate Practical Applicatio
 ns of NAMs to Accelerate More Predictive In Vitro\, In Vivo\, and Computa
 tional ModelsWith nearly 90% of drug candidates failing in the clinic\, a
 nd one-third of those failures driven by safety\, toxicology has reached 
 a critical inflection point. Traditional preclinical models are no longer
  sufficient to predict human risk\, costing biopharma millions in late-st
 age attrition and stalled pipelines.\n\nIn 2026\, toxicology enters a new
  era. The FDA's landmark 2025 roadmap to reduce reliance on animal testin
 g has accelerated adoption of New Approach Methodologies (NAMs)\, includi
 ng in vitro\, microphysiological\, and computational models. At the same 
 time\, CROs and technology developers are rapidly releasing new platforms
 \, but uncertainty remains around predictivity\, validation standards\, a
 nd regulatory positioning.\n\nThis meeting is the only industry-led forum
  dedicated to benchmarking what truly works in predictive toxicology. Des
 igned by toxicologists for toxicologists\, it brings together pharma\, bi
 otech\, regulators\, and model developers to critically evaluate in vivo\
 , in vitro\, and in silico strategies\, share real IND case studies\, and
  define fit-for-purpose model selection across modalities.\n\nIf you are 
 responsible for de-risking first-in-human decisions\, advancing NAM adopt
 ion\, or improving safety translation\, this is the essential forum to se
 parate innovation from hype and build toxicology strategies that stand up
  clinically and regulatorily.\n\n&nbsp\;\n\nDate and Time: Tuesday\, 12 M
 ay 2026 at 08:00 - Thursday\, 14 May 2026 at 17:00\n
DTEND:20260514T170000
DTSTAMP:20260501T161221Z
DTSTART:20260512T080000
LOCATION:The Colonnade Hotel\, 120 Huntington Avenue\, Boston\, Massachuse
 tts\, 02116\,
SEQUENCE:0
SUMMARY:Benchmark Existing Models and Interrogate Practical Applications o
 f NAMs to Accelerate More Predictive In Vitro\, In Vivo\, and Computation
 al ModelsW...
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