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X-WR-CALNAME:AIMRC Seminar: From metabolic sensing to predictive modeling i
 n stem cell manufacturing
X-WR-TIMEZONE:America/Chicago
X-WR-CALDESC:AIMRC Seminar: From metabolic sensing to predictive modeling i
 n stem cell manufacturing — (BELL) Bell Engineering Center\, Fayettevill
 e. Via thenwatoday.com.
BEGIN:VEVENT
UID:aimrc-seminar-from-metabolic-sensing-to-predictive-modeling-in-stem-cel
 l-manufacturing-2026-10-28@thenwatoday.com
DTSTAMP:20261001T161836Z
DTSTART;TZID=America/Chicago:20261028T115000
DTEND;TZID=America/Chicago:20261028T135000
SUMMARY:AIMRC Seminar: From metabolic sensing to predictive modeling in ste
 m cell manufacturing
LOCATION:(BELL) Bell Engineering Center\, Fayetteville
DESCRIPTION:The Arkansas Integrative Metabolic Research Center (AIMRC) will
  host Dr. Manolis Tzanakakis\, a Professor of Chemical and Biological Engi
 neering at Tufts University\, at 11:50 a.m. on Wednesday\, October 28\, in
  BELL 2269. Dr. Tzanakakis develops innovative approaches to stem cell eng
 ineering and bioprocessing to advance regenerative medicine and cell-based
  therapies. In this seminar\, he will highlight how metabolism and predict
 ive modeling can be leveraged to improve the manufacturing and therapeutic
  potential of stem cells.\n\n \n\nAbstract: Manufacturing stem cell–base
 d therapeutics at scale hinges on how cells sense their metabolic environm
 ent and on the ability to model and predict that behavior. This seminar wi
 ll outline several efforts along that arc. Cell population balance equatio
 ns\, coupled with experimental data\, are used to model Stem cell cultivat
 ion in stirred-suspension systems.  These models predict oxygen transport 
 within cell aggregates\, a key metabolic constraint on viability and fate.
  Beyond oxygen transport\, accumulated lactate then reshapes pluripotent s
 tem cell proliferation\, mitochondrial and lipid metabolism\, and the epig
 enome via histone lactylation\, establishing a metabolic-sensing axis rele
 vant to dense cultures. Building on these metabolite–phenotype links\, a
  hybrid modeling framework that combines mechanistic and neural-network ap
 proaches connects glucose and lactate to critical quality attributes acros
 s culture time. Finally\, molecular customization\, xeno-free media\, exos
 ome-guided cardiogenic differentiation\, and optogenetics translate metabo
 lic and signaling insights into cardiac and pancreatic therapeutics\, guid
 ing the design\, optimization\, and control of cell-manufacturing bioproce
 sses.\n\n \n\nBiography: Dr. Manolis Tzanakakis is a Professor and Chair o
 f the Department of Chemical and Biological Engineering at Tufts Universit
 y. He earned his PhD in Chemical Engineering from the University of Minnes
 ota (UMN) and completed postdoctoral training
URL:https://thenwatoday.com/events/aimrc-seminar-from-metabolic-sensing-to-
 predictive-modeling-in-stem-cell-manufacturing-2026-10-28
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