Liquid biopsy advances in early-stage cancer detection
Circulating tumor DNA analysis is reshaping how clinicians detect malignancies before symptoms emerge.
Read article →Peer-reviewed commentary on cancer genomics, next-generation sequencing, bioinformatics, RNA biology, precision medicine, and artificial intelligence in healthcare.
Circulating tumor DNA analysis is reshaping how clinicians detect malignancies before symptoms emerge.
Read article →Deciphering mutational processes opens new avenues for targeted intervention and patient stratification.
Read article →Single-cell profiling reveals how cancer cells sculpt their niche to suppress immune surveillance.
Read article →PacBio and Oxford Nanopore platforms are now routine tools for resolving complex genomic rearrangements.
Read article →Pilot studies demonstrate the clinical utility and ethical complexities of early-life genomic data.
Read article →Ultra-low DNA inputs demand refined protocols to maintain sensitivity without introducing artifacts.
Read article →Containerized workflows on Kubernetes enable reproducible analysis of hundred-thousand cohorts.
Read article →Reference bias persists; multi-ethnic truth sets are essential for equitable genomic medicine.
Read article →Linear references are giving way to pangenome graphs that capture population diversity natively.
Read article →Transcriptomic trajectories trace differentiation reversals that underlie relapse and resistance.
Read article →CircRNAs exhibit remarkable stability in plasma, making them attractive non-invasive diagnostic candidates.
Read article →PRO-seq maps active promoters and enhancers with nucleotide resolution in living cells.
Read article →Integrating germline pharmacogenes into electronic health records streamlines therapeutic decision-making.
Read article →Combining millions of common variants into risk estimates is transitioning from research to clinical utility.
Read article →Family trios remain the gold standard for resolving de novo and compound heterozygous variants.
Read article →Large language models trained on genomic literature are accelerating variant pathogenicity assessment.
Read article →Multi-modal neural networks fuse pathology imaging, transcriptomics and clinical history for outcome prediction.
Read article →Diffusion-based architectures propose novel protein binders with predicted high affinity and manufacturability.
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