Excelra’s data and analytics solutions empower innovation in life sciences across the value chain from molecule to market. The Excelra Edge comes from a seamless amalgamation of data, deep domain expertise and data science. The company’s multifaceted team helps harmonize large volumes of disparate unstructured data; analyse data using cutting-edge AI/ML technologies; and galvanize data-driven decisions to unlock operational efficiencies and accelerate drug development. Being an end-to-end solution provider, Excelra helps break down silos, integrate data and analytics across Chemistry, Omics, Clinical Trials, and RWE to uncover novel insights and opportunities. Over the last 18 years, Excelra has been the preferred data and analytics partner to over 150 global clients including 15 of the top 20 large Pharma companies.
Excelra
Title: Are you effectively utilizing the data necessary for drug discovery?
Speaker: Tulika Jaokar, Ph.D. Senior Solutions Expert at Excelra
Description: In this presentation, speaker shared the detailed information about Excelra's innovative data products and solutions. We will cover everything from integrated data management to optimizing analysis methods and advanced applications. Furthermore, explained how the GOSTAR database contributes to pharmaceutical research.
Excelra integrates data, knowledge, and technology to open new drug discovery and development horizons. This presentation will clarify our vision for promoting efficient research.
1 year ago | [YT] | 0
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Excelra
This presentation focuses on innovative methods for discovering effective drug combinations for cancer treatment, a critical area for improving patient outcomes. Dr. Chandra Sekhar Pedamallu, Vice President of Excelra, will present cutting-edge techniques centered around literature mining and de novo strategies. The core aim is to identify synergistic drug combinations that enhance therapeutic efficacy while minimizing adverse effects, ultimately leading to more successful cancer therapies.
The presentation shows the specific approaches, including leveraging existing research and patent data through literature mining to pinpoint promising drug combinations. Furthermore, it will explore de novo strategies, which utilize omics data and artificial intelligence models to discover entirely novel combinations. The discussion will also cover network-based approaches, which leverage protein interaction networks to identify effective drug partners, providing a comprehensive overview of advanced techniques in drug combination discovery.
Attendees will gain valuable insights into the drug discovery pipeline, from fundamental steps to key challenges. The presentation will highlight strategies for maximizing the effectiveness of combination therapies and showcase practical solutions offered by Excelra's integrated approach. Emphasis will be placed on the critical role of data quality and a deep understanding of biological processes in successful drug combination discovery.
1 year ago (edited) | [YT] | 0
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