Upcoming Events
Please check back for a new schedule of events!
In the News
Literary Guild Talks
Literary Guild Talks promote learning among our team members and leverage the latest published knowledge relevant to our work.
| 1/17/25 | Juyoung Lee | AI for multistructure incidental findings and mortality prediction at chest CT in lung cancer screening |
| 1/24/25 | Sebastian, Kamal, Naoto | Tumor evolution metrics predict recurrence beyond 10 years in locally advanced prostate cancer |
| 1/32/25 | Akanksha, Saumya | International multicenter validation of AI-driven ultrasound detection of ovarian cancer |
| 2/7/25 | Jinxi Xiang (Derek) | A vision-language foundation model for precision oncology |
| 2/14/25 | Ajay | On responsible machine learning datasets emphasizing fairness, privacy and regulatory norms with examples in biometrics and healthcare |
| 2/21/25 | Mendy Lebowitz | Functional and causal insights into retinal vasculature modulating; Development and validation of a multimodal multitask vision foundation model for generalist ophthalmic artificial intelligence |
| 2/28/25 | Mayukhmala Jana | Accelerating histopathology workflows with generative AI-based virtually multiplexed tumour profiling |
| 3/7/25 | Dmitrii Cherezov | Clinical domain knowledge-derived template improves post hoc AI explanations in pneumothorax classification |
| 3/21/25 | Cris Barrera | Predicting the tumor microenvironment composition and immunotherapy response on non-small cell lung cancer from digital histopathology images |
| 3/28/25 | Aotian Chen, Hilmi Al-Shakhshir | Data-driven risk stratification and precision management of pulmonary nodules detected on chest computed tomography |
| 4/4/25 | Sudeshna and Amritpal | Integrated image-based deep learning and language models for primary diabetes care: Nature |
| 4/11/25 | Sandeep Manandhar | Trem 2-expressing multinucleated giant macrophages are a biomarker of good prognosis in head and neck squamous cell carcinoma |
| 4/18/25 | Sudeshna Sil Kar, Amritpal Singh | Application of a deep learning marker for morbidity and mortality prediction derived from retinal photographs: A cohort development and validation study |
| 5/2/25 | Arian Arab | A machine learning-based model for automatic scoring of tumor infiltrating lymphocytes in breast cancer patients |
| 5/9/25 | Rohan Dalal, Maya, Aidan | Superclassifier Demo |
| 5/16/25 | Gourav, Rhan, Amrit | Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice: JACC State-of-the-Art Review |
| 5/23/25 | Sirvan Khalighi | Digital assessment of tertiary lymphoid structures and therapeutic responses in gastric cancer: A multi-center retrospective study |
| 5/30/25 | Bhakti Baheti, PhD | HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis |
| 6/6/25 |
Yuxin Wu
Rishi |
PathoDuet: Foundation models for pathological slide analysis of H&E and IHC stains Development and Validation of an AI-based multimodal model for pathological staging of gastric cancer using CT and endoscopic images |
| 6/13/25 | Himanshu | CellVoyager: AI CompBio Agent Generates New Insights by Autonomously Analyzing Biological Data |
| 6/20/25 |
Sebastian Medina
Taofik Suleiman |
AI-driven predictive biomarker discovery with contrastive learning to improve clinical trial outcomes Towards a general computed tomography image segmentation model for anatomical structures and lesions |
| 7/11/25 | Liang Zhao | Graph deep learning and interpretation for biomedical geometric object representation and knowledge discovery |
| 7/18/25 | Michaela Harris | Healthy Relationships and Workplace Dynamics |
| 7/25/25 | Himanshou | The Interplay between Extracellular Matrix Remodeling and Cancer Therapeutics |
| 8/1/25 | Saima Rathore, PhD | Brain aging patterns in a large and diverse cohort of 49,482 individuals |
| 8/8/25 |
Jennifer S. Lopez
Bolin, Tanmoy |
Predicting gastric cancer response to anti-HER2 combined immunotherapy based on multimodal data |
| 8/15/25 | Gourav, Abhishek | Cardiac and liver impairment on multiorgan MRI and risk of major adverse cardiovascular and liver events |
| 8/22/25 | Biplab Dasgupta, PhD | Mechanisms of cancer development and treatment |
| 8/29/25 | Zelin Zhang | OptPDE: Discovering novel integrable systems via AI-human collaboration |
| 9/5/25 | Pushkar | From development to deployment: Evidence criteria for the clinical translation of -omics biomarkers in oncology |
| 9/12/25 |
Satvika Bharadwaj, Sahar Almahfouz
Dharini Raghavan, Nikhil |
Multimodal integration using a machine learning approach facilitates risk stratification in HR+/HER2− breast cancer Automated cell annotation and classification on histopathology for spatial biomarker discovery |
| 9/19/25 | Taofik, Pushkar, Hilmi, Jay | Automated Deep Learning-Based Detection and Segmentation of Lung Tumors at CT |
| 9/26/25 | Bao H. Do | Radiology Artificial Intelligence (AI) in Workflow at Veterans Affairs (VA) |
| 10/3/25 | Zelin Zhang | Unified clinical vocabulary embeddings for advanced precision medicine |
| 10/10/25 | Tanmoy Dam | Same-slide spatial multi-omics integration reveals tumor virus-linked spatial reorganization of the tumor microenvironment |
| 10/17/25 | Zelin Zhang | Medical multimodal-multitask foundation model for lung cancer screening |
| 10/24/25 | Mayukhmala Jana | Benchmarking the translational potential of spatial gene expression prediction from histology|Nature Communications |
| 10/31/25 | Liping Li, Ipsa Yadav | How do to bad biomarker research - Statistical thinking, 20 challenges of analyzing high-dimensional data |
Past Events
First Emory AI Health Symposium
More than 400 people packed the Woodruff Health Sciences Administration Building Auditorium and meeting spaces for two days of panel discussions, poster sessions, and presentations focused on AI’s clinical potential in areas like health care diagnosis, genomics and pathology, as well as AI’s impact on medical privacy and security or the challenge of creating databases free of bias. The symposium perfectly showcased Emory's expertise and growing prominence, thanks to the new Emory Empathetic AI for Health Institute, also led by Dr. Madabhushi, which is part of the university's AI Humanity Initiative.
Sessions delved into leading-edge research from radiology to acute care to public health, including AI’s challenge to patient privacy. Participants also explored how AI models can aid in more precise diagnoses and ways to make Emory Healthcare patient data more widely available to investigators at Emory and its partners.
AI and Chiari-I Malformations
The lab was honored to host Sunil Manjila, MD, for a fascinating talk on AI in Chiari-I Malformation Diagnosis & Predictive Analysis on February 16, 2024. Dr. Majila is a neurosurgeon with Insight Institute of Neurosurgery & Neuroscience of McLaren Healthcare in Flint, MI.
AI for Computational Pathology Mini Symposium
June 12 | 1 to 4 p.m. R. Randall Rollins Building, 1516 Clifton Road, Room R800
A capacity crowd enjoyed discussing how AI can be tailored to meet the specific needs of clinicians, both within and outside pathology.
Speakers:
Dr. Sunil Badve, Breast Cancer
Dr. German Corredor, Computational Pathology
Joe Depa, Chief Data and AI Officer, Emory University
Dr. Ashesh Jani, Urologic Cancers
Dr. Kevin Kalinsky, Breast Cancer
Dr. Anant Madabhushi, Biomedical Engineering
Dr. Susan Modesitt, Gynecologic Oncology
Dr. Mihir Patel, Otolaryngology
Dr. Drew Williamson, Pathology