Path2Space deep-learning model predicts spatial gene expression from routine pathology slides for breast cancer biomarker discovery

<![CDATA[AI Test Predicts Breast Cancer Recurrence Using Standard Pathology Slides]]>

MRI-Driven Precision Typing and Response Prediction in Luminal Breast Cancer

Conditions : HR Positive/HER-2 Negative Breast Cancer Sponsors : Fudan University Active, not recruiting

Research on AI Models for Predicting Breast Cancer Treatment Effectiveness to Guide Her-2 Targeted ADC Therapy

Conditions : Breast Cancer Sponsors : Zhejiang Cancer Hospital Not yet recruiting

Pan-cancer AI atlas reveals diversity and spatial organization of tertiary lymphoid structures in tumors

Tertiary lymphoid structures (TLSs) are critical regulators of antitumor immunity, yet their spatial organization, maturation, and clinical

Using AI to improve cancer immunotherapy outcomes, via training from transcriptomes of 10,000 tumor samples, 33 cancer types @NatureMedicine

Using AI to improve cancer immunotherapy outcomes, via training from transcriptomes of 10,000 tumor samples, 33 cancer types @NatureMedicine

Using AI to improve cancer immunotherapy outcomes, via training from transcriptomes of 10,000 tumor samples, 33 cancer types @NatureMedicine

Using AI to improve cancer immunotherapy outcomes, via training from transcriptomes of 10,000 tumor samples, 33 cancer types @NatureMedicine

Using AI to improve cancer immunotherapy outcomes, via training from transcriptomes of 10,000 tumor samples, 33 cancer types @NatureMedicine

Using AI to improve cancer immunotherapy outcomes, via training from transcriptomes of 10,000 tumor samples, 33 cancer types @NatureMedicine

Using AI to improve cancer immunotherapy outcomes, via training from transcriptomes of 10,000 tumor samples, 33 cancer types @NatureMedicine

Using AI to improve cancer immunotherapy outcomes, via training from transcriptomes of 10,000 tumor samples, 33 cancer types @NatureMedicine

Using AI to improve cancer immunotherapy outcomes, via training from transcriptomes of 10,000 tumor samples, 33 cancer types @NatureMedicine

Using AI to improve cancer immunotherapy outcomes, via training from transcriptomes of 10,000 tumor samples, 33 cancer types @NatureMedicine

Using AI to improve cancer immunotherapy outcomes, via training from transcriptomes of 10,000 tumor samples, 33 cancer types @NatureMedicine

Using AI to improve cancer immunotherapy outcomes, via training from transcriptomes of 10,000 tumor samples, 33 cancer types @NatureMedicine

A Biomarker Exploration Study for Predicting Localization of Recurrence and Metastasis in Colorectal Cancer (PROBE Study)

Conditions : Metastatic Colorectal Cancer (CRC) Sponsors : The First Affiliated Hospital with Nanjing Medical University Not yet recruiting