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Expert analyses, trends, and innovations in AI-driven drug discovery and computational biology.

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AI Protocol Writing for Clinical Trials: What to Know in 2026

blogs | science

AI Protocol Writing for Clinical Trials: What to Know in 2026

AI protocol writing for clinical trials is changing how regulatory teams draft and review protocols. A guide to capabilities, limitations, and evaluation criteria.

In Silico Toxicology: How AI Predicts Drug Safety Risks

technical | science

In Silico Toxicology: How AI Predicts Drug Safety Risks

In silico toxicology tools predicted liver toxicity differences between two USP1 inhibitors. Learn how chemotype profiling can de-risk drug safety decisions.

De-risk Drug Target Selection with Data Integration

technical | science

De-risk Drug Target Selection with Data Integration

90% of drug candidates fail, often due to poor target selection. This USP1 case study shows how multi-omic data integration reduces late-stage attrition.

Metadata Leakage in Science: Costs, Causes, and Fixes

blogs | science

Metadata Leakage in Science: Costs, Causes, and Fixes

Metadata leakage costs biomedical research billions annually. Learn how unreported experimental variables propagate and what teams can do to reduce it.

Genomics Quality Control: WGS QC Metrics and Standards

technical | science

Genomics Quality Control: WGS QC Metrics and Standards

Genomics quality control demands standardized metrics. This guide covers 20 WGS QC metrics across FASTQ, BAM, and genomic context, with scoring rationale.

scRNA-seq Quality Control: 12 Processing Metrics Explained

technical | science

scRNA-seq Quality Control: 12 Processing Metrics Explained

scRNA-seq quality control goes beyond basic filters. Learn 12 metrics that standardize single-cell data evaluation across datasets and institutions.

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