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"Познание начинается с удивления" (Аристотель)
Новое в науке на 2026-03-29

Exome sequencing and analysis of 44,028 British South Asians enriched for high autozygosity

An analysis of whole-exome sequencing data linked to longitudinal electronic health records from 44,028 British South Asians finds new gene–phenotype associations and identifies 2,991 genes with rare biallelic predicted loss-of-function genotypes.

2026-03-27

Novel Method Optimizes Plasmid Creation

In a recent Nature Communications paper (https://www.nature.com/articles/s41467-026-68907-1), Rice University professor James Chappell and...

2026-03-26

Reprogramming of stroma-derived chemokine networks drives the loss of tissue organization in nodal B cell lymphoma

Czernilofsky et al. identified factors that reprogram stromal cells into an inflammatory, dysfunctional state, leading to the structural disorganization of lymph nodes in B cell lymphoma at single-cell and spatial resolutions.

2026-03-25

New Digital Database Maps Bacterial Capsule Type and Strain

A large-scale genetic study has identified the five capsule types driving most multidrug-resistant bloodstream infections caused by E. coli....

2026-03-25

New DNA-Based Method Decodes Protein Sequences at Scale

Proteins, made of amino acids strung together in peptide chains, carry out many essential tasks in living cells, yet determining their exact...

2026-03-18

New Study Provides Insights into Gene Regulation in the Sheep Genome

A new study maps regulatory elements in the sheep genome, offering livestock breeders tools to enhance animal health and quality. It pinpoints gene...

2026-03-16

Semipermeable Capsules Enable Scientists to Analyze Individual Cells Multiple Times

A team led by Visiting Professor Linas Mazutis at Umeå University has developed a capsule-based method that allows scientists to examine the same...

2026-03-12

Diagnostic accuracy, fairness and clinical implementation of AI for breast cancer screening: results of multicenter retrospective and prospective technical feasibility studies

Kelly et al. assessed an artificial intelligence system for breast cancer screening in retrospective datasets, followed by prospective feasibility evaluation, and report its accuracy, fairness and clinical implementation in multiple workflow settings.

2026-03-10

Impact of using artificial intelligence as a second reader in breast screening including arbitration

Warren et al. used data from a retrospective cohort of 50,000 women attending breast screening. Arbitration between human and AI decisions was performed in a reader study following normal arbitration workflow. After arbitration, replacing the second human reader with AI in a double-read breast screening workflow was noninferior to two human readers.

2026-03-10

Prospective evaluation of artificial intelligence integration into breast cancer screening in multiple workflow settings: the GEMINI study

De Vries et al. performed prospective evaluation of AI for breast cancer screening leveraged in many different workflow settings and report several clinical and operational gains depending on the type of AI integration.

2026-03-10