日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Designing Bioconjugated Ti(3)C(2) MXene QDs with Excellent Two-Photon Absorption Coefficients for Targeted NIR-II Imaging of Triple-Negative Breast Cancer Cells

设计具有优异双光子吸收系数的生物共轭Ti(3)C(2) MXene量子点,用于靶向近红外二区三阴性乳腺癌细胞成像

Rai, Shivangee; Pramanik, Avijit; Kolawole, Olorunsola Praise; Gates, Kaelin; Stark, Trinity; Edorodion, Zoe; Kundu, Sanchita; Barua, Audri; Akula, Suraj; Janorkar, Sanika; Vedala, Padmaja R; Han, Fengxiang X; Ray, Paresh Chandra

Distinct cellular DNA methylation mechanisms underlie common and rare genetic risk for brain disorders

不同的细胞DNA甲基化机制是常见和罕见脑部疾病遗传风险的基础。

Zhou, Jiyun; Liu, Cuining; Liu, Xiaoming; Zhang, Yuan; Wei, Yu; Shin, Joo Heon; Maher, Brady; Liu, Chunyu; Luo, Chongyuan; Wang, Kai; Weinberger, Daniel R; Han, Shizhong

A Quantitative Imaging Measure of Progressive Pulmonary Fibrosis

进行性肺纤维化的定量影像学测量

Wang, Jennifer M; Adegunsoye, Ayodeji; Pugashetti, Janelle Vu; Lee, Cathryn T; Murray, Susan; Mohan, Nisha; Nazemi, Nazanin; Kang, Edward; Chelala, Lydia; Kazerooni, Ella A; Flaherty, Kevin R; Belloli, Elizabeth A; Sheth, Jamie S; O'Dwyer, David N; Strek, Mary E; Hatt, Charles R; Han, MeiLan K; Chung, Jonathan H; Oldham, Justin M

P06.12.B THE COGNITIVE BENEFITS OF RTMS: A META-ANALYSIS ACROSS HEALTH AND DISEASE

P06.12.B RTMS的认知益处:一项涵盖健康和疾病的荟萃分析

Lowet, Eric; Kondabolu, Krishnakanth; Zhou, Samuel; Mount, Rebecca A; Wang, Yangyang; Ravasio, Cara R; Han, Xue; Jacinto, S; Teixeira, A R; Santos, H; Portugal, G; Valente, B; Lousinha, A; Cunha, P; Cacela, D; Morais, L; Santana, A; Oliveira, E; Ferreira, R; Martins Oliveira, M; Ali, A M; Gorter, M; Zakaria, R; Jenkinson, M; Frank, B; Klein, M; de witt Hamer, P; Douw, L

Coherent Control over Nuclear Hyperpolarization Using an Optically Initializable Chromophore-Radical System

利用光学可初始化发色团-自由基体系对核超极化进行相干控制

Le, Hoang M; Straub, Joshua S; Stern, Quentin; Equbal, Asif; Qiu, Yunfan; Krzyaniak, Matthew D; Wasielewski, Michael R; Han, Songi

Artificial Intelligence-Assisted Data Extraction With a Large Language Model: A Study Within Reviews

基于大型语言模型的AI辅助数据提取:一项综述研究

Gartlehner, Gerald; Kugley, Shannon; Crotty, Karen; Viswanathan, Meera; Dobrescu, Andreea; Nussbaumer-Streit, Barbara; Booth, Graham; Treadwell, Jonathan R; Han, Jung Min; Wagner, Jesse; Apaydin, Eric A; Coppola, Erin L; Maglione, Margaret; Hilscher, Rainer; Chew, Robert; Pilar, Meagan; Swanton, Bryan; Kahwati, Leila C

Deep learning predicts DNA methylation regulatory variants in specific brain cell types and enhances fine mapping for brain disorders

深度学习能够预测特定脑细胞类型中的DNA甲基化调控变异,并增强对脑部疾病的精细定位。

Zhou, Jiyun; Weinberger, Daniel R; Han, Shizhong

Precision mapping of equilibrium disclination strain in pentagonally twinned nanostructures

五边形孪晶纳米结构中平衡位错应变的精确映射

Cheng, Zhihua; Shi, Chuqiao; Zhao, Kaijie; Engel, Michael; Jones, Matthew R; Han, Yimo

Examining multimorbidity contributors to dementia over time

随着时间的推移,考察多种疾病共存对痴呆症的影响因素

Klee, Matthias; Markwardt, Sheila; Elman, Miriam R; Han, Ling; Leist, Anja K; Allore, Heather; Quiñones, Ana

Deep learning imputes DNA methylation states in single cells and enhances the detection of epigenetic alterations in schizophrenia

深度学习能够推断单个细胞中的DNA甲基化状态,并增强对精神分裂症表观遗传改变的检测。

Zhou, Jiyun; Luo, Chongyuan; Liu, Hanqing; Heffel, Matthew G; Straub, Richard E; Kleinman, Joel E; Hyde, Thomas M; Ecker, Joseph R; Weinberger, Daniel R; Han, Shizhong