Joyce Yan-Ran Wang

Assistant Professor at University of Michigan; PhD in Computer Science@Northwestern; AI-Healthcare

[Joyce Yan-Ran Wang @YanranWangJoyce]

🚀 PixAIL Lab @ UMich is recruiting PhD (BME/ECE) students and Postdoc fellows!
If you're passionate about AI × Healthcare, multimodal learning, computer vision, or foundation models for healthcare — I’d love to talk with you.

I’ll be on-site at AMIA (Atlanta, Nov 15–19) and NeurIPS (San Diego, Dec 2–7).
📄 Apply here: https://t.co/jR3qZYxCTD

📅 If you’re attending either conference, feel free to reach out — happy to meet and discuss opportunities in PixAIL!

Looking forward to connecting with future researchers!

— Joyce Yan-Ran Wang, PhD
Assistant Professor, UMich BME/ECE
#AI #HealthcareAI #MachineLearning #PhDRecruiting #AMIA2025 #NeurIPS2025 #AIHealth

[Joyce Yan-Ran Wang @YanranWangJoyce]

I’ll be at #CVPR2026 helping host our workshop 🩺✨
MMFM-BIOMED: Multimodal Foundation Models for Biomedicine
https://t.co/vjTtLOD4xu

Interested in medical AI, multimodal FMs, clinical reasoning, or PixAIL? Please come say hi 👋💛

I’d love to chat and meet colleagues/new friends in the community!
🔬 https://t.co/lPVlirDNOV

#MedicalAI #MultimodalAI #FoundationModels

[Joyce Yan-Ran Wang @YanranWangJoyce]

🚀 Excited to share our latest in Nature Reviews Cancer:
“AI-driven smart patient retrieval for precision oncology.” 🧬💻

📖 Read here: https://t.co/e8Dn9UXN1q

🔍✨We ask a simple but important question:
What if clinicians could systematically learn from every similar patient—across imaging, genomics, clinical notes, and longitudinal outcomes?

⚙️In this piece, we discuss how AI-driven patient retrieval, enabled by multimodal foundation models, can support this paradigm.

💭 Curious to hear perspectives from both clinical and AI communities: How do you see "smart retrieval" changing clinical workflows? What would need to be in place for you to trust and adopt such systems in practice?

🙌Huge thanks to @Dr_ASChaudhari for the incredible collaboration on this!

#PrecisionOncology #MedicalAI #MultimodalAI #ClinicalAI

[Joyce Yan-Ran Wang @YanranWangJoyce]

@Dr_ASChaudhari Fantastic work!

[Joyce Yan-Ran Wang @YanranWangJoyce]

@BoWang87 Fantastic work!

[Cancer Cell @Cancer_Cell]

Medulloblastoma subgrouping at first sight https://t.co/PsST8wLLKZ

[Cancer Cell @Cancer_Cell]

Advancing presurgical non-invasive molecular subgroup prediction in medulloblastoma using artificial intelligence and MRI signatures https://t.co/AHKrv7zSTx

[Joyce Yan-Ran Wang @YanranWangJoyce]

We're deeply grateful for the support of Dr. Vijay Ramaswamy (@vijayvijay1979) and Dr. Marc Remke (@MarcRemke) from Sick Children! Their preview of our research in @Cancer_Cell is invaluable to us. Thank you for your contributions to advancing precision oncology research for medulloblastoma. Your work is making a real difference! #CancerResearch #ScientificProgress #Gratitude

Preview: https://t.co/ukuZzjySwJ Article: https://t.co/6XStECXcZ9

[Joyce Yan-Ran Wang @YanranWangJoyce]

@ZhiHuangPhD @Penn @PennPathLabMed @UPennDBEI Congratulations on becoming an Assistant Professor at Upenn, Huang Zhi! Your kind and respectful demeanor will be a true blessing for your future students and collaborators!

[Joyce Yan-Ran Wang @YanranWangJoyce]

Delighted to share that our AI-empowered molecular diagnostics research has been published in @Cancer_Cell!

We demonstrate that image-based machine learning strategies using MRI data can enhance existing molecular testing, offering a noninvasive, presurgical, and cost-effective method for predicting medulloblastoma molecular subgroups. This open dataset aims to advance global medulloblastoma research and improve patient survival rates worldwide.

https://t.co/D6pg8MiHUs

[Joyce Yan-Ran Wang @YanranWangJoyce]

@ZhangAnqi @Caltech @CaltechEAS Congratulations Anqi!🎉 Your hard work and dedication have truly paid off. Wishing you all the best in this exciting new chapter!

[Joyce Yan-Ran Wang @YanranWangJoyce]

@yuyinzhou_cs Great work, Yuyin!

[Joyce Yan-Ran Wang @YanranWangJoyce]

Delighted to share our AI-enabled #CMR is now published in @NatureMedicine!

Our two-stage paradigm, featuring noninvasive cine-based CVD screening followed by cine and LGE-based diagnosis, has been developed and validated for the screening and diagnosis of 11 types of CVDs.

https://t.co/vHVXeJvjDU

[Joyce Yan-Ran Wang @YanranWangJoyce]

Delighted to share our AI-enabled #CMR is now published in @NatureMedicine!

Our two-stage paradigm, featuring noninvasive cine-based CVD screening followed by cine and LGE-based diagnosis, has been developed and validated for the screening and diagnosis of 11 types of CVDs.

https://t.co/vHVXeJvjDU

[The Nobel Prize @NobelPrize]

Happy International Women's Day!

We're celebrating women who have changed the world. Here's all of the amazing women who have received the #NobelPrize and their remarkable achievements at the time of the award.

Who are the women who inspire you the most?

#IWD2024

[Science Magazine @ScienceMagazine]

As #AI goes multimodal, the technology has potential for medical applications that were not previously within reach, argues @EricTopol in a new #ScienceExpertVoices article.

Read more: https://t.co/42FaRZfCMZ