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vkola authored Oct 22, 2024
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This is a list of projects in the lab, including who is working on them. If you are interested in joining a particular project, contact any member of the corresponding team.

- Active feature acquisition: Osman, Ketan, Karim
- Learning on mri with missing sequences: Diala, Divya
- Learning on MRI with missing sequences: Diala, Divya
- Zero-shot learning on EEG configuration (train on some electrode config, infer on a different config): Ketan, Osman
- EEG are few, and even if you have them often they are taken in a bunch of different configs
- Improving ML model performance and interpretability in scenarios with incomplete features: Chongua
- Predicting biomarker status for biological AD: Varuna, Sahana, Shreyas, Lingyi, Mike, Chonghua
- Fusion of digital pathology and gene expression to predict precancer: Lingyi
- Foundation model for the assessment of ADRD: Sahana, Matteo, Varuna, Shreyas, Lingyi, Meagan, Ketan
- take multimodal data, routinely collected (text, MRI, EEG), build a virtual assistant for neurology
- take multimodal data, routinely collected (text, MRI, EEG)
- Speech deidentification preserving cognitive utility: Meysam, Cody,
- anonymize speech data while keeping enough audio features to estimate cognitive impairment
- PodGPT: Shuyue, Subh, Ned, Varuna, Meagan, Lindsey, Divya
- augment performance of LLM with STEM information, from written, audio, and video sources. We have a product online.
- LLM grounding: Yi Liu
- PodGPT: Shuyue, Subh, Ned, Varuna, Meagan, Lindsey, Divya, Shruti, Dithmi
- augment performance of LLM with STEM information, from written, audio, and video sources. We have a demo online.
- LLM grounding: Yi Liu, Krish Shah
- Identification of tissue neighborhoods in colorectal cancer: Yichi
- Fusion of acoustic and language features for cognitive assessment: Abhi, Serena
- Predicting cognitive status from reaction time: Matteo, Meagan
- Fusion of acoustic and language features for cognitive assessment: Abhi, Serena, Cody
- Practice effects and digital cognitive assessments: Matteo, Meagan
- Sleep and digital brain health: Matteo
- AI augmented neuroradiologist: Shreyas, Krish, Olivia, Mike,
- Vision-Language model for predicting biomarkers: Yi Zheng, Divya,
- AI augmented neuroradiologist: Shreyas, Krish, Olivia, Mike
- Vision-Language model for nuclei segmentation: Yi Zheng, Divya
- Guided information retrieval from educational videos: Subh
- Evidence-based medical language model: Shuyue
- Integrate medical professional expertise, database knowledge, and patient values/preferences
- Effective drug toxicity on systemic circulation: Aubrey, Yichi
- Correlation maps of ATN: Meagan, Matteo, Krish
- Fusion of whole slide images and gene expression for cancer reoccurrence: Lingyi, Yichi
- Fusion of whole slide images and gene expression for cancer reoccurrence: Lingyi, Yichi

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