Deriving insights from a variety of public data sources is critical for faster drug discovery and development
Are Google searches yielding poor results for your scientific queries?
Are Pubmed searches and alerts producing too many results you don’t have time to dig through?
Do you find it difficult to keep track of and mine insights from clinical trial designs and readouts of competitors and partners?
If yes, you are not alone.
High-throughput science (HTS) is producing knowledge and insights at a pace that is not easy to keep up with, even for specialists. COVID has also resulted in a big spike of investments into biopharma ventures, resulting in a very competitive marketplace. Winners of this era will be those who learn how to systematically tackle these challenges.
Aganitha Knowledge Hubs leverage AI to tackle the challenges of information and data overload, providing automatically and continuously curated solutions for the following subject areas
- Competitive intelligence covering: Investments, Financials, Product and tech announcements, preclinical and clinical trial designs, progress and readouts, regulatory applications and actions, IP filings and grants, partnerships, and supply chain intelligence
- Research and Clinical data specific to disease areas (such as Oncology and rare diseases) and therapeutic categories (such as cell and gene therapies, RNA therapies, mAbs, vaccines and adjuvants) covering: Published research and preprints, conference presentations and transcripts, public datasets, patent applications and grants, news releases, tweets, other social media posts announcing trials, results, applications, approvals and other regulatory actions
- Master data services to disambiguate, resolve and integrate: interventions, indications, studies and organizations