Stanford University
Showing 7,641-7,650 of 36,328 Results
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Scott Dixon
Professor of Biology
Current Research and Scholarly InterestsMy lab is interested in the relationship between cell death and metabolism. Using techniques drawn from many disciplines my laboratory is investigating how perturbation of intracellular metabolic networks can result in novel forms of cell death, such as ferroptosis. We are interested in applying this knowledge to find new ways to treat diseases characterized by insufficient (e.g. cancer) or excessive (e.g. neurodegeneration) cell death.
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Samantha Isabelle Yosuico Dizon
Undergraduate Student Program Coordinator, CEC&L Operations
Undergraduate, Communication
Undergraduate, Inter-Departmental Programs
Student Employee, Vice Provost for Student AffairsBioHi! My name is Sam (she/her/hers). I’m a sophomore at Stanford University studying Communication and Disability Studies. I have a passion for creativity and advocacy; along with showcasing my artwork online through Instagram, I use my skills to help advocate for Autistic and Disabled rights (@ArtsBySam). I always strive to bring about positive change and I value the beauty of human connection and expression.
I currently work as the Assistant Coordinator for the Stanford University Disability Community (DisCo) Space. I help create graphics needed for newsletters and Instagram, manage our social media, organize events, and help make the DisCo Space as inclusive as possible.
Feel free to reach me at SamDizon@Stanford.edu! -
Abdoul Jalil Djiberou Mahamadou
Postdoctoral Scholar, Biomedical Ethics
Current Research and Scholarly InterestsIdentify ethical, legal, and social considerations arising in the context of AI in the drug discovery process.
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Bao Do
Clinical Professor, Radiology
BioBao Do is an expert in radiology informatics, computer vision, and quantitative musculoskeletal imaging. He has developed and validated deep-learning models for diagnostic interpretation, hardware recognition, and automated reporting across orthopedic and radiographic domains. His recent studies demonstrated high-performance CNNs for detecting perilunate and lunate dislocations on wrist radiographs (AUC = 0.986) 【Pridgen et al., Plast Reconstr Surg 2023; 10.1097/PRS.0000000000010928】 and improving clinician accuracy through machine-learning-assisted diagnosis in a multicenter reader study 【Luan et al., Hand (N Y)2025; 10.1177/15589447241308603】. He co-developed AI systems for automated classification of hip hardware achieving radiologist-level accuracy (AUC ≥ 0.99) 【Ma et al., J Imaging Informat Med 2024; 10.1007/s10278-024-01263-y】, scoliosis curvature measurement from 2,150 spine radiographs 【Ha et al., J Digit Imaging 2022; 10.1007/s10278-022-00595-x】, and fully automated leg-length analysis and reporting 【Larson et al., J Digit Imaging2022; 10.1007/s10278-022-00671-2】. Earlier work included Bayesian models for bone tumor diagnosis 【Do et al., J Digit Imaging 2017; 30:709-13】, semantic content-based image retrieval using relevance feedback 【Banerjee et al., J Biomed Inform 2018; 84:123-35】, and NLP-based uncertainty detection in radiology reports 【Callen et al., J Digit Imaging 2020; 33:1209-19】, demonstrating a career-long commitment to explainable, data-driven imaging analytics.
Interests: Musculoskeletal imaging AI, AI for workflow optimization, human-AI interaction in radiology, scalable education
www.stanford.edu/~baodo
