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Automating Pharmacokinetic Metadata Extraction in Drug–Drug Interaction (DDI) Studies Using NLP Technologies

Automating Pharmacokinetic Metadata Extraction in Drug–Drug Interaction (DDI) Studies Using NLP Technologies

Discover how small-molecule drug development often stalls not due to scientific limitations, but due to…
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The Journey of a Small Molecule: From First Hit to Market

Discover how small-molecule drug development often stalls not due to scientific limitations, but due to…
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FAIR Data in Biopharma: An Excelra Perspective

Biopharma R&D produces vast, complex datasets that often slow innovation. This whitepaper explores how FAIR…
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Data Readiness for AI in Pharma and Biotech

Excelra’s whitepaper explores how pharma and biotech companies can achieve data readiness to accelerate AI…
BioVisualizer-Enhancing-biological-data-analysis

BioVisualizer™: Enhancing biological data analysis and interpretation

The rapid pace at which biological and preclinical  data is generated presents challenges in management,…
Antibody-Discovery-with-AI

Accelerating in-vitro antibody discovery with artificial intelligence

Antibodies are a relatively new treatment class that has shown great promise for the treatment…
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Smoothing the path to drug development with accurate preclinical data

Understanding how a drug behaves in the body is critical to its success. This whitepaper…
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Power of AI/ML in Medical Imaging: Role in Cancer Diagnosis & treatment

Contributors: Shipra Gupta, Tanusree Chaudhuri, Praveen Korepu, Nag Himakund Mallampalli, Lingaraju Halasiddappa, Uzma Saeed, Jitesh…
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Omics Data: A Biomedical Asset Driving The Future Of Drug Discovery And Development

Data has become one of the most valuable assets for modern-day drug discovery. Data along…