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The @NCICancerBio is discontinuing the F32 postdoctoral fellowship. Is there a backstory here?

This is a catastrophic decision.

Johns Hopkins ChemBE PhD student and member of @DenisWirtz lab, @Hanna_Eban is working to break barriers to help improve cellular therapies for cancer patients. Read more about Eban and his research here: inbt.jhu.edu/breaking-barri…

Today Johns Hopkins University announced seven Bloomberg Distinguished Professorships research clusters as a key part of the university’s new Johns Hopkins Data Science and AI Institute initiative. These clusters aim to advance interdisciplinary research in data science and AI. hub.jhu.edu/2024/12/17/dat…

Hopkins is recruiting 30 Bloomberg Distinguished Professors in AI + X (X = astrophysics, cancer, neuroscience, genomics, social sciences, etc.) hub.jhu.edu/2024/12/17/dat… 22 of these 30 will be organized in clusters:

The next phase of our hiring is now live! These 30 Bloomberg Distinguished Professors faculty slots are part of Johns Hopkins Data Science and AI Institute initiative to grow AI at @johnshopkins Johns Hopkins Engineering Areas: medicine, foundational ML, natural intelligence, neuroscience, genomics, cancer, and computational social sciences

More than ever, researchers need to explain how they use taxpayer money to provide tangible benefits. My lab has developed a completely novel way to make cellular therapies a lot more effective. Our approach shows promising results in pancreatic, ovarian and lung cancer.

Denis Wirtz We also need to explain how the economy works. Fisher Scientific is a major distributor of scientific supplies. If we have no research money to buy supplies, all those distribution jobs will be cut accordingly. We must explain how THEY will be affected as early as tomorrow.

Prof Linda Gay Griffith Denis Wirtz My lab has been working to establish models for studying endometrial regeneration/endometriosis/endometrial cancer. Would be thrilled to collaborate. Let's chat some time. [email protected].

Hopkins will be resilient. We owe it to our students and patients.

We introduce InterpolAI, an optical flow-based AI model to enhance 3D imaging (MRI, CODA, ssTEM, light sheet) Read about it here in our new NM paper: nature.com/articles/s4159…

Can a deep learning model know your data well enough to predict missing parts? InterpolAI accurately interpolates synthetic images between pairs of authentic images to “repair” tissue damage and reduce stitching artifacts across modalities. Denis Wirtz bit.ly/453o1i1

Hopkins on the Hill Johns Hopkins faculty will showcase the value of their federally-funded research on the Hill in Washington DC, talking to US representatives and their staff June 11 5:30-7:30pm Rayburn House Office Bldg AI, health care, space exploration, public health, ..

To fix input images in a stack for 3D imaging, use InterpolAI. InterpolAI removes tissue tears and stitching + photobleaching artifacts in stacks of ssTEM, MRI, light-sheet, or histological images (CODA). Read it here: nature.com/articles/s4159… GitHub: github.com/sjoshi17jhu/In…

Our Wavelengths program is now open to all #JohnsHopkins faculty. Many BDPs have worked closely with science writers to publish books on the topic of their research in a format that makes their work accessible to the public. Apply here if interested: research.jhu.edu/wavelengths-pr…

Excited to share our work in Nature Methods! InterpolAI is a deep learning framework that uses optical flow to interpolate and restore missing or damaged biomedical images, allowing enhanced 3D maps across diverse imaging modalities. Read more: nature.com/articles/s4159…

If your stack of images is full of defects, don't panic! InterpolaAI, a deep learning-based optical flow method, will fix issue tears, photobleaching and sticking artifacts for improved 3D imaging. Read our paper in Nature Methods: nature.com/articles/s4159…

This work is part of the results from my sabbatical stay at Prof. Denis Wirtz’s lab at Johns Hopkins during the 2022–2023 academic year. Very grateful to have been part of this exciting collaboration—congrats to the team on the Nature Methods publication!

It is very hard to avoid tissue tear when sectioning brain samples for ssTEM imaging. The majority of sections have such defects. No worry, we can fix these defects using InterpolAI, as shown in our recent Nature Methods paper: nature.com/articles/s4159…

Research Saves Lives At Johns Hopkins, we just went live with an expansive website showing the extraordinary value of research, the impact of cuts to research, what's at stake, resources for our research community, etc. Check it out: researchsaveslives.jhu.edu