의학 연구 트렌드

AI가 선별한 이번 주 29개 전문과의 주요 논문

마지막 업데이트: 2026년 5월 11일

종양내과5

영향력 3

Mutations Targeted by Nous-209 Immunotherapy Occur Early in Lynch Syndrome Carriers' Precancer Lesions with Microsatellite Instability.

발표일: 2026-05-11

Cancer prevention research (Philadelphia, Pa.)

MediLens 수록일: 2026-05-12

This study characterizes precancerous colorectal lesions in Lynch syndrome carriers and evaluates the potential of Nous-209 immunotherapy for cancer prevention. Among 50 adenomas and 12 advanced adenomas from 26 carriers, 83% of advanced adenomas and 58% of adenomas were found to be MMR-deficient...

PubMed에서 읽기
영향력 3

Multifunctionally Modified Low Molecular Weight PEI for Efficient Gene Delivery and Ferroptosis-Induced Antitumor Activity.

발표일: 2026-05-11

Biomacromolecules

MediLens 수록일: 2026-05-12

This study presents a multifunctional cationic polymer (PFFc) designed for efficient gene delivery and induction of ferroptosis in cancer therapy. The polymer demonstrated strong gene-specific cytotoxicity in proliferation assays, outperforming nontherapeutic controls. Mechanistically, PFFc enhan...

PubMed에서 읽기
영향력 3

iS2C2: a cointelligent platform for mechanistic discovery of disease cellular crosstalk.

발표일: 2026-05-11

Signal transduction and targeted therapy

MediLens 수록일: 2026-05-12

The study presents iS2C2, a novel platform that integrates computational algorithms with large language models to analyze single-cell RNA-seq and spatial transcriptomics data. This platform addresses the limitations of traditional methods by generating biologically interpretable hypotheses. When ...

PubMed에서 읽기
영향력 3

Comparative Assessment of Free Energy Computational Methods for Revealing the Interactions Driving PARP1 Selective Inhibition.

발표일: 2026-05-11

Journal of chemical information and modeling

MediLens 수록일: 2026-05-12

This study evaluates three computational methods for predicting inhibitor selectivity in PARP enzymes relevant to ovarian, breast, and prostate cancers. MM/PBSA provides qualitative insights but is sensitive to conformational changes, while ABFE and US methods yield better alignment with experime...

PubMed에서 읽기
영향력 2

Performance of multimodal large language models for the detection and characterization of bone lesions on radiographs.

발표일: 2026-05-11

Diagnostic and interventional radiology (Ankara, Turkey)

MediLens 수록일: 2026-05-12

This study evaluated five large language models (LLMs) for detecting and characterizing bone lesions on plain radiographs using 3,746 images. ChatGPT 5.2 showed the best accuracy (0.803) and specificity (0.916) for lesion detection, while Claude Sonnet 4.6 and Gemini 3 Flash excelled in sensitivi...

PubMed에서 읽기

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