AI4AD Consortium
@AI4AD
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The Artificial Intelligence for Alzheimer’s Disease Consortium - empowering discovery through machine learning in AD neuroimaging, genetics and cognition
Los Angeles, CA
Joined October 2020
We are recruiting a Chief Genomics Officer here at Cedars-Sinai Medical Center in Los Angeles. Please spread the word! Apply here: https://t.co/LBjanbhTId
#genomics #genetics
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Our latest paper by Zexuan and Qipeng (@PennAMCS) and Boning (@pennbioeng) introduces the Distance-Weighted Sinkhorn (DWS) Loss for enhancing classification performance: https://t.co/vBhIcA3u6F.
#AI #AlzheimersResearch #DataScience @UPennDBEI @UPennIBI @PennAI2D @AI4AD
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Our AI4AD Consortium in @Nature Magazine's article by @maxdkozlov 👉 https://t.co/2Hf8neyTu3
@zhizhid @FeixiongCheng @ASaykin @PTenigma
@chrisdav66 @lishenlc @birtutamtuz @wait_sasha
@AdamMBrickman @njahanshad @KeckMedicineUSC @USC @USCLONI
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#AI in Nature magazine: this week's issue features our AI/Machine Learning Consortium, creating AI methods for Alzheimer's disease https://t.co/ekiEkVVDf9 Thanks @maxdkozlov for a great article + 1000000 congrats to @zhizhid @FeixiongCheng @ASaykin @chrisdav66 @lishenlc
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#AI in Nature magazine: this week's issue features our AI/Machine Learning Consortium, creating AI methods for Alzheimer's disease https://t.co/ekiEkVVDf9 Thanks @maxdkozlov for a great article + 1000000 congrats to @zhizhid @FeixiongCheng @ASaykin @chrisdav66 @lishenlc
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Happy to share our #SfN2023 poster - '3D CNN Models for Brain Age Prediction from Diffusion MRI in North American and Indian Cohorts: Testing Generalizability.' We tested the generalizability of 3D CNNs trained on 636 controls dMRI from ADNI.
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We had a great time walking together to #ENDALZ 💜 in Hermosa Beach this past weekend ✌️🌷 Thanks to our faculty, staff, and students who participated, and thanks to @alzassociation for bringing so many people together 🤝🧠
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Be sure to check out our newly established Biomedical Informatics track in the GCB PhD program.
Applications for the 2024 academic year are officially open - and this year, there is NO application fee! Not only that, but we are excited to announce a new biomedical informatics-focused track of the GCB PhD program. Apply here by December 1st: https://t.co/arcyJOFekJ
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Looking forward to Jacob Leiby (@UPennGCB), Zixuan Wen ( https://t.co/p19BwHKHg9) and Boning Tong (@pennbioeng )'s presentations at https://t.co/NDRF4nCg3U, and https://t.co/5wCJce93uT.
@UPennDBEI @UPennIBI @dokyoon_kim
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An Unsupervised Data‐Driven Approach to Profiling Distinct Tau Progression Patterns - Tosun - 2022 - Alzheimer's & Dementia - Wiley Online Library https://t.co/2mUhVQujpq
@UCSFimaging @UCSF_Ci2 @AI4AD @SiemensHealth
alz-journals.onlinelibrary.wiley.com
Background Given the central role that accumulation of tau pathology plays in the clinical progression of Alzheimer’s disease, the ability to quantify and predict the spread of tau is of great...
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Profiling and predicting distinct tau progression patterns: An unsupervised data‐driven approach to flortaucipir positron emission tomography - Tosun - Alzheimer's & Dementia - Wiley Online Library https://t.co/BqIxcJ4rGe
@UCSFimaging
@UCSF_Ci2
@AI4AD
@SiemensHealth
alz-journals.onlinelibrary.wiley.com
INTRODUCTION How to detect patterns of greater tau burden and accumulation is still an open question. METHODS An unsupervised data-driven whole-brain pattern analysis of longitudinal tau positron ...
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Identifying individuals with non‐Alzheimer's disease co‐pathologies: A precision medicine approach to clinical trials in sporadic AD - Alzheimer's & Dementia - Wiley Online Library https://t.co/eZm2Lb3JSt
@UCSFimaging @UCSF_Ci2 @AI4AD @UCSF_BCHSI @NCIREveterans @TakedaPharma
alz-journals.onlinelibrary.wiley.com
INTRODUCTION Biomarkers remain mostly unavailable for non-Alzheimer's disease neuropathological changes (non-ADNC) such as transactive response DNA-binding protein 43 (TDP-43) proteinopathy, Lewy...
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Invertible neural networks can help to synthesize realistic medical imaging data to augment training datasets for AI. This is similar to Cycle consistency in a generative adversarial network (GAN). Packed audience for Lena Maier Hein Keynote @DaliWorkshop @MICCAI_Society
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Join us for our DALI workshop this afternoon! 🖌️ We have THREE distinguished keynote speakers: Prof. Dimitris N. Metaxas, Prof. Lena Maier-Hein @lena_maierhein, and Prof. Paul M. Thompson @PTenigma and a mixed session of orals and posters! Program: https://t.co/EChw6BpjAK
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Arrived in beautiful Vancouver ! If you are still here at #MICCAI2023, come see us at 130pm in room 14 for our #AI workshop (thanks to Yuan Xue for the invite!)
Join us for our DALI workshop this afternoon! 🖌️ We have THREE distinguished keynote speakers: Prof. Dimitris N. Metaxas, Prof. Lena Maier-Hein @lena_maierhein, and Prof. Paul M. Thompson @PTenigma and a mixed session of orals and posters! Program: https://t.co/EChw6BpjAK
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祝贺中国青年学者主办了一场鼓舞人心的神经影像人工智能研讨会并享用了丰盛的晚宴！ (Congratulations to the Chinese Young Scholars for hosting an inspiring Neuroimaging #AI Symposium and a great dinner!) #OHBM2023 @ycgyan @lishenlc @anqi_qiu @RuiyangGe @YuPingWang12
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JOIN US @515pm TODAY for "AI in Neuroimaging" - come + explore the latest breakthroughs in #AI technologies for understanding the human brain- @OHBM Room 512A-D, meet superstar speakers @jiangtz1 @ycgyan @anqi_qiu @sattertt @RuiyangGe more: https://t.co/p6d0zpEltH
#OHBM2023
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@ASaykin, PhD, will chair and present in the basic science session, "What can we learn from multiomics?"
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@ApostolovaLiana, MD, presented the results from the Eli-Lilly Phase III clinical trial on Alzheimer's medication Donanemab.
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