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DESCRIPTION:Advances in intelligent computing are redefining how we discove
 r therapeutics and engineer regenerative tissues. This talk presents two c
 omplementary\, algorithm-driven approaches aimed at transforming treatment
 s for neurological and skeletal disorders. First\, we introduce a computat
 ional peptidomics pipeline that mines genomic data to identify precursor s
 equences encoding neuroactive peptides\, which are key modulators of signa
 l transmission that bind heptahelical receptors. Traditional peptide disco
 very is slow and serendipitous\; our algorithms predict peptide maturation
  pathways\, including post-translational modifications\, and pair these pr
 edictions with a high-sensitivity assay capable of detecting receptor-gene
 rated second messengers such as InsPs and cAMP. This integrated strategy h
 as yielded promising peptide-based drug candidates for Parkinson’s disea
 se and Osteoporosis\, now advancing through animal testing. Parallel to th
 is\, we present a bioengineering framework for creating biomimetic\, bioco
 mpatible bone scaffolds. Using uCT images of osteoporotic bone\, we design
  and 3D-print trabecular structures optimized for both mechanical strength
  and osteoconductivity\, addressing limitations of current synthetic scaff
 olds. These engineered matrices\, enhanced by the osteogenic Calcitonin Re
 ceptor Fragment Peptide\, support robust osteoblast growth and functional 
 bone formation. Together\, these innovations illustrate how algorithmic de
 sign and intelligent technologies can accelerate next-generation healing\,
  from molecular therapeutics to regenerative tissues.\n\nCo-sponsored by: 
 Vishnu S. Pendyala\, SJSU\n\nSpeaker(s): Dr. Vishnu S. Pendyala\, Prof. Sr
 inivas Pentyala\n\nVirtual: https://events.vtools.ieee.org/m/538191
LOCATION:Virtual: https://events.vtools.ieee.org/m/538191
ORGANIZER:pendyala@ieee.org
SEQUENCE:59
SUMMARY:Next-Gen Healing: Designed by Algorithms.
URL;VALUE=URI:https://events.vtools.ieee.org/m/538191
X-ALT-DESC:Description: <br /><p class="MsoNormal">Advances in intelligent 
 computing are redefining how we discover therapeutics and engineer regener
 ative tissues. This talk presents two complementary\, algorithm-driven app
 roaches aimed at transforming treatments for neurological and skeletal dis
 orders. First\, we introduce a computational peptidomics pipeline that min
 es genomic data to identify precursor sequences encoding neuroactive pepti
 des\, which are key modulators of signal transmission that bind heptahelic
 al receptors. Traditional peptide discovery is slow and serendipitous\; ou
 r algorithms predict peptide maturation pathways\, including post-translat
 ional modifications\, and pair these predictions with a high-sensitivity a
 ssay capable of detecting receptor-generated second messengers such as Ins
 Ps and cAMP. This integrated strategy has yielded promising peptide-based 
 drug candidates for Parkinson&rsquo\;s disease and Osteoporosis\, now adva
 ncing through animal testing. Parallel to this\, we present a bioengineeri
 ng framework for creating biomimetic\, biocompatible bone scaffolds. Using
  uCT images of osteoporotic bone\, we design and 3D-print trabecular struc
 tures optimized for both mechanical strength and osteoconductivity\, addre
 ssing limitations of current synthetic scaffolds. These engineered matrice
 s\, enhanced by the osteogenic Calcitonin Receptor Fragment Peptide\, supp
 ort robust osteoblast growth and functional bone formation. Together\, the
 se innovations illustrate how algorithmic design and intelligent technolog
 ies can accelerate next-generation healing\, from molecular therapeutics t
 o regenerative tissues.</p>
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