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Identifying Druggable Therapeutic Targets: Unveiling promising avenues in Drug discovery

Effective target identification lies at the core of drug discovery. In theory, it sounds simple…

Roadmap to Biomarker Discovery: Innovations, Opportunities, and Breakthroughs

Biomarkers are indicators of homeostasis, disease states, or pharmacological interventions. An ideal biomarker must be…

Bridging the gap between biomarker discovery and qualification through a validity index and quantified clinical outcome associations.

Biomarkers are defined as a characteristic that is objectively measured and evaluated as an indicator…

Disease landscapes: Meaningful scientific and strategic assessments for drug discovery and development

Disease landscapes include pre-clinical, clinical, and commercial data. They inform a company’s decision to proceed…

Selecting and preparing data for AI/ML predictive modeling

Find out the impact of data selection on the predictive accuracy of AI/ML models and…

Optimizing scRNA-seq data analysis with effective pipeline development

Single-cell RNA sequencing (scRNA-seq) allows genetic makeup to be studied at the level of single…

Accelerating discovery and creating value

Pharmas and biotechs are united by a common goal: discovery. Whether seeking new treatments, improved…

Training machine learning algorithms on different data scales

Poor drug solubility is one of the main obstacles in drug discovery and development and…

Accelerated drug repurposing using advanced analytics

Expertly curated data and advanced analytics have had a huge impact on drug repurposing –…