André Forjaz
@andreforjaz.bsky.social
PhD candidate @ Johns Hopkins Univ. | Wirtz Lab | Institute of Nano biotechnology (INBT) 🇵🇹
Reposted by André Forjaz
This new human-relevant model by Wirtz, Ren, @andreforjaz.bsky.social & colleagues "mimics the architecture of endometrial tissue and recapitulates all three phases of the menstrual cycle ... within a single platform."
Read more in the preprint: www.biorxiv.org/content/10.1...
Read more in the preprint: www.biorxiv.org/content/10.1...
3D map-guided modeling of functional endometrial tissue using multi-compartment assembloids
The human endometrium is a dynamic tissue that lines the uterus and undergoes constant remodeling, making it especially susceptible to gynecological diseases like endometriosis and endometrial cancer....
www.biorxiv.org
August 29, 2025 at 12:36 PM
This new human-relevant model by Wirtz, Ren, @andreforjaz.bsky.social & colleagues "mimics the architecture of endometrial tissue and recapitulates all three phases of the menstrual cycle ... within a single platform."
Read more in the preprint: www.biorxiv.org/content/10.1...
Read more in the preprint: www.biorxiv.org/content/10.1...
Reposted by André Forjaz
Excited for this @cp-cell.bsky.social article co-led by @fertiglab.bsky.social and Genevieve Stein-O'Brien, on creating a plain language "grammar" to easily write simulation models as virtual laboratories for complex systems like cancer.
Fully open access and open source! 🧪 #mathonco #mathbio
Fully open access and open source! 🧪 #mathonco #mathbio
Now online! Human interpretable grammar encodes multicellular systems biology models to democratize virtual cell laboratories
Human interpretable grammar encodes multicellular systems biology models to democratize virtual cell laboratories
We developed a plain text modeling language—a cell behavior hypothesis grammar—to easily build virtual cell models and connect them to data, helping scientists to unlock the hidden dynamics of tissues. We provide examples showing how to use them in virtual experiments exploring how cancer responds to the cells in its environment and how the brain forms layers in development.
dlvr.it
July 29, 2025 at 1:06 AM
Excited for this @cp-cell.bsky.social article co-led by @fertiglab.bsky.social and Genevieve Stein-O'Brien, on creating a plain language "grammar" to easily write simulation models as virtual laboratories for complex systems like cancer.
Fully open access and open source! 🧪 #mathonco #mathbio
Fully open access and open source! 🧪 #mathonco #mathbio
Reposted by André Forjaz
InterpolAI accurately generates synthetic images between real image pairs to help restore tissue damage and reduce stitching artifacts across different imaging modalities. Shows that deep learning can understand data to intelligently fill in the gaps.
Scientific research, working for everyone.
Scientific research, working for everyone.
Dream Police alert: InterpolAI for enhanced 3D imaging (CODA, MRI, EM, confocal).
Read about and InterpolAI here: www.nature.com/articles/s41...
Read about and InterpolAI here: www.nature.com/articles/s41...
InterpolAI: deep learning-based optical flow interpolation and restoration of biomedical images for improved 3D tissue mapping
Nature Methods - InterpolAI leverages optimal flow-based artificial intelligence to produce synthetic images between pairs of images for diverse three-dimensional image types. InterpolAI is more...
www.nature.com
May 28, 2025 at 6:48 PM
InterpolAI accurately generates synthetic images between real image pairs to help restore tissue damage and reduce stitching artifacts across different imaging modalities. Shows that deep learning can understand data to intelligently fill in the gaps.
Scientific research, working for everyone.
Scientific research, working for everyone.
Reposted by André Forjaz
Thank you Rita.
Very proud of this work, co-led by PhD students Saurabh Joshi and André Forjaz.
Very proud of this work, co-led by PhD students Saurabh Joshi and André Forjaz.
Very excited about this paper that came online today! InterpolAI can predict missing image data from light microscopy to H&E to MRI for improved volumetric imaging and image analysis.
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 diverse modalities. @deniswirtz.bsky.social bit.ly/453o1i1
May 28, 2025 at 8:31 PM
Thank you Rita.
Very proud of this work, co-led by PhD students Saurabh Joshi and André Forjaz.
Very proud of this work, co-led by PhD students Saurabh Joshi and André Forjaz.
Reposted by André Forjaz
Very excited about this paper that came online today! InterpolAI can predict missing image data from light microscopy to H&E to MRI for improved volumetric imaging and image analysis.
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 diverse modalities. @deniswirtz.bsky.social bit.ly/453o1i1
May 28, 2025 at 6:22 PM
Very excited about this paper that came online today! InterpolAI can predict missing image data from light microscopy to H&E to MRI for improved volumetric imaging and image analysis.
Reposted by André Forjaz
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, DC
AI, health care, space exploration, public health, education, etc
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, DC
AI, health care, space exploration, public health, education, etc
May 29, 2025 at 2:15 PM
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, DC
AI, health care, space exploration, public health, education, etc
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, DC
AI, health care, space exploration, public health, education, etc
Reposted by André Forjaz
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 diverse modalities. @deniswirtz.bsky.social bit.ly/453o1i1
May 28, 2025 at 6:18 PM
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 diverse modalities. @deniswirtz.bsky.social bit.ly/453o1i1
Reposted by André Forjaz
This work was supported by the National Cancer Institute (NCI). The NCI has long supported the integration of various expertises (here, oncology, computer science, and microscopy), to develop new understanding of cancer and new treatments.
Proposed cuts to NCI will cripple such efforts.
Proposed cuts to NCI will cripple such efforts.
Dream Police alert: InterpolAI for enhanced 3D imaging (CODA, MRI, EM, confocal).
Read about and InterpolAI here: www.nature.com/articles/s41...
Read about and InterpolAI here: www.nature.com/articles/s41...
InterpolAI: deep learning-based optical flow interpolation and restoration of biomedical images for improved 3D tissue mapping
Nature Methods - InterpolAI leverages optimal flow-based artificial intelligence to produce synthetic images between pairs of images for diverse three-dimensional image types. InterpolAI is more...
www.nature.com
May 28, 2025 at 12:01 PM
This work was supported by the National Cancer Institute (NCI). The NCI has long supported the integration of various expertises (here, oncology, computer science, and microscopy), to develop new understanding of cancer and new treatments.
Proposed cuts to NCI will cripple such efforts.
Proposed cuts to NCI will cripple such efforts.
Reposted by André Forjaz
Dream Police alert: InterpolAI for enhanced 3D imaging (CODA, MRI, EM, confocal).
Read about and InterpolAI here: www.nature.com/articles/s41...
Read about and InterpolAI here: www.nature.com/articles/s41...
InterpolAI: deep learning-based optical flow interpolation and restoration of biomedical images for improved 3D tissue mapping
Nature Methods - InterpolAI leverages optimal flow-based artificial intelligence to produce synthetic images between pairs of images for diverse three-dimensional image types. InterpolAI is more...
www.nature.com
May 28, 2025 at 11:42 AM
Dream Police alert: InterpolAI for enhanced 3D imaging (CODA, MRI, EM, confocal).
Read about and InterpolAI here: www.nature.com/articles/s41...
Read about and InterpolAI here: www.nature.com/articles/s41...
Reposted by André Forjaz
Proud of our new perspective describing the role of mathematical biology for immunotherapy www.nature.com/articles/s41... @natbiotech.nature.com
Virtual cells for predictive immunotherapy - Nature Biotechnology
Synergizing advances in artificial intelligence with mathematical modeling will improve our ability to computationally predict immunotherapy outcomes.
www.nature.com
April 15, 2025 at 2:17 AM
Proud of our new perspective describing the role of mathematical biology for immunotherapy www.nature.com/articles/s41... @natbiotech.nature.com
Excited to share our new paper, where we integrate 3D imaging and nuclear segmentation to profile cellular neighborhoods in human pancreas.
We demonstrate spatial immune patterns and microenvironment heterogeneity missed in 2D. A scalable pipeline for high-res tissue analysis.
We demonstrate spatial immune patterns and microenvironment heterogeneity missed in 2D. A scalable pipeline for high-res tissue analysis.
April 6, 2025 at 12:10 AM
Excited to share our new paper, where we integrate 3D imaging and nuclear segmentation to profile cellular neighborhoods in human pancreas.
We demonstrate spatial immune patterns and microenvironment heterogeneity missed in 2D. A scalable pipeline for high-res tissue analysis.
We demonstrate spatial immune patterns and microenvironment heterogeneity missed in 2D. A scalable pipeline for high-res tissue analysis.
Reposted by André Forjaz
Be on the lookout for a new paper from the lab:
"InterpolAI: Deep learning based optical flow interpolation and restoration of biomedical images for improved 3D tissue mapping"
InterpolAI interpolates and restores defective images for enhanced 3D imaging (3D histology, MRI, confocal, ssTEM)
"InterpolAI: Deep learning based optical flow interpolation and restoration of biomedical images for improved 3D tissue mapping"
InterpolAI interpolates and restores defective images for enhanced 3D imaging (3D histology, MRI, confocal, ssTEM)
April 5, 2025 at 3:27 PM
Be on the lookout for a new paper from the lab:
"InterpolAI: Deep learning based optical flow interpolation and restoration of biomedical images for improved 3D tissue mapping"
InterpolAI interpolates and restores defective images for enhanced 3D imaging (3D histology, MRI, confocal, ssTEM)
"InterpolAI: Deep learning based optical flow interpolation and restoration of biomedical images for improved 3D tissue mapping"
InterpolAI interpolates and restores defective images for enhanced 3D imaging (3D histology, MRI, confocal, ssTEM)
Reposted by André Forjaz
This integrated method shows how misleading traditional 2D assessments of immune cells localization in tissues is misleading.
3D assessments are a must.
3D assessments are a must.
New paper from the lab: Integration of nuclear morphology and 3D imaging to profile cellular neighborhoods
Read it here: www.biorxiv.org/content/10.1...
Read it here: www.biorxiv.org/content/10.1...
April 4, 2025 at 1:38 PM
This integrated method shows how misleading traditional 2D assessments of immune cells localization in tissues is misleading.
3D assessments are a must.
3D assessments are a must.
Reposted by André Forjaz
New paper from the lab: Integration of nuclear morphology and 3D imaging to profile cellular neighborhoods
Read it here: www.biorxiv.org/content/10.1...
Read it here: www.biorxiv.org/content/10.1...
April 4, 2025 at 1:23 PM
New paper from the lab: Integration of nuclear morphology and 3D imaging to profile cellular neighborhoods
Read it here: www.biorxiv.org/content/10.1...
Read it here: www.biorxiv.org/content/10.1...