LIMS, Data Systems & Digital Workflows
Updated |3 min read
How Automation Is Transforming Clinical Research Operations
Automation, AI, and digital health technologies can help make clinical trials more efficient, inclusive, and impactful
Updated |2 min read
New ML Model Identifies Tumor-Reactive T Cells Quickly
icTCR helps identify suitable T cells from patient samples in under a few days, not months
|2 min read
Identifying Gene–Disease Relationships in the Clinical Exome
The six-month study combined computational indexing of 9.5 million full-text genomic publications with a systematic literature review
Updated |2 min read
AMA, Experts Condemn the Use of Race-Based Clinical Algorithms
Survey results reveal that many institutions are taking steps but not concrete action against using race-based clinical algorithms
|3 min read
Machine Learning Model Accurately Predicts Liver Cancer Risk
New algorithms developed by clinicians and data scientists could help personalize treatment
|2 min read
Trust in Clinical Lab Automation Takes a New Turn
It’s unclear whether younger laboratory professionals will harness the full potential of automation
|3 min read
Effective Lab Automation Equips Humans to Make Better-Informed Decisions
Laboratory professionals must confront the fear that automation takes away control
|2 min read
Deep Learning Model Noninvasively Predicts Gestational Diabetes Risk
The neural network was built to analyze the genes associated with GDM from cfDNA sequencing data
|3 min read
Importance of a Customizable, Integrated Ecosystem in Clinical Trials
The future of clinical research is a connected user experience built on automation, transparency, and compliance
|2 min read
AI-Based Personalized Therapies Need Agile Approval Processes
Commercializing AI-based treatment warrants regulatory changes and multilayered testing and monitoring approaches
|1 min read
New Study Unveils a Potential Pan-Cancer Biomarker
Bioinformatics and epigenetic analyses link XRCC1 to some 10 cancer types
|3 min read
