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F

Frederick M. Howard

university of chicago
H指数:20
被引数:2,707

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Multi-modal AI for comprehensive breast cancer prognostication

多模态AI用于全面乳腺癌预后评估

2026-05-200
OAAI
Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit: a multicentre, model development and validation study

基于组织病理图像的深度学习以预测乳腺癌复发风险和化疗获益:一项多中心、模型开发与验证研究

2026-03-110
OAAI
Virtual multiplex immunofluorescence identifies lymphocyte subsets predictive of response to neoadjuvant therapy

虚拟多重免疫荧光识别预测新辅助治疗反应的淋巴细胞亚群

2025-10-180
OA
Corrigendum to “Analysis of AI foundation model features decodes the histopathologic landscape of HPV-positive head and neck squamous cell carcinomas”. [Oral Oncol. 163 (2025) 107207]

勘误:“Analysis of AI foundation model features decodes the histopathologic landscape of HPV-positive head and neck squamous cell carcinomas” [Oral Oncol. 163 (2025) 107207]

2025-07-280
PRE
Analysis of AI foundation model features decodes the histopathologic landscape of HPV-positive head and neck squamous cell carcinomas

AI基础模型特征的分析解码了HPV阳性头颈部鳞状细胞癌的组织病理学景观

2025-03-011
PRE
A randomized phase II trial of nab-paclitaxel with or without mifepristone for advanced triple-negative breast cancer

nab-紫杉醇联合或不联合米非司酮治疗晚期三阴性乳腺癌的随机II期试验

2025-02-100
OAAI
Factors associated with distant recurrence (DR) risk in patients (pts) with HR+/HER2-early breast cancer (EBC): a machine learning (ML) model-based analysis using real-world (RW) data

与HR+/HER2-早期乳腺癌(EBC)患者远处复发(DR)风险相关的因素:一项基于机器学习(ML)模型的真实世界(RW)数据分析

BREAST
IF7.9
2025-02-010
OAAI
Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features

生成对抗网络从病理,基因组和影像学潜在特征准确地重建了泛癌症组织学

2024-11-150
OAAI
Datopotamab-deruxtecan plus durvalumab in early-stage breast cancer: the sequential multiple assignment randomized I-SPY2.2 phase 2 trial

Datopotamab-deruxtecan联合durvalumab治疗早期乳腺癌: 序贯多重分配随机I-SPY2.2 2期试验

2024-09-144
PRE