A spotlight of the The Washington Post on the evolving field of optogenetic restoration of sight. Almost 20 years in the making and building on the progress in #genetherapy for inherited retinal degeneration, the science and technology has matured it is making an impact in patient’s lives. Great to see a reference to the foundational work of Botond Roska and many other colleagues in the field.
#optogenetics#aav#ird
🎉 Exciting News! 🎉 Delighted to share that our latest research paper has just been published in @PeerJLife! 📝🔬
Our study introduces a method to monitor and estimate the structural and dynamic interactions within three-dimensional (3D) liver tissue model, revealing insights into multiscale transport and mechanobiology with implications for understanding complex biological structures.
https://lnkd.in/gjKZVpji#Biophysics #CellBiology#cryopreservation
Elevate Pathology with Optimized Workflows
Managing the complex pathology workflow poses many challenges. TriMetis offers solutions with ARCH LabFlow – an AI-powered platform that integrates TriMetis Computer-Assisted Pathology (TCAP) to transform workflows. By seamlessly optimizing case prioritization, automated protocols, and data-driven insights, we can elevate pathology workflows to unprecedented levels. Let’s adopt this innovative technology to drive greater efficiency, fuel new research, and set the stage for the future of our field.
🌐 Discover TCAP: https://lnkd.in/gqUrgaeS
🔬 Explore ARCH LabFlow: https://lnkd.in/gdqRKwiR#ARCHLabFlow#TCAP#Pathology#Histology#CancerResearch#Innovation#PrecisionMedicine#Collaboration#FutureOfPathology
Yesterday, a team of PathAI scientists led by Nhat Le, John Abel, Sean Grullon, and Dinkar Juyal published "𝐈𝐧𝐭𝐞𝐫𝐩𝐫𝐞𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐨𝐧 𝐚 𝐩𝐚𝐭𝐡𝐨𝐥𝐨𝐠𝐲 𝐟𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐦𝐨𝐝𝐞𝐥 𝐫𝐞𝐯𝐞𝐚𝐥𝐬 𝐛𝐢𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥𝐥𝐲 𝐫𝐞𝐥𝐞𝐯𝐚𝐧𝐭 𝐞𝐦𝐛𝐞𝐝𝐝𝐢𝐧𝐠𝐬 𝐚𝐜𝐫𝐨𝐬𝐬 𝐦𝐨𝐝𝐚𝐥𝐢𝐭𝐢𝐞𝐬." This preprint is a continuation of our initiative to construct pathology-centric #foundationmodels and links PLUTO, PathAI’s foundation model, with interpretable aspects of tumor biology. https://lnkd.in/eD8JhrFs
Foundation models are gaining traction in #pathology, however, the applicability of foundation models to diverse use cases rests on their ability to capture latent biology without supervised training.
𝐓𝐨 𝐭𝐞𝐬𝐭 𝐭𝐡𝐢𝐬, 𝐰𝐞 𝐟𝐨𝐜𝐮𝐬𝐞𝐝 𝐨𝐧 𝐭𝐡𝐫𝐞𝐞 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡𝐞𝐬 𝐟𝐨𝐫 𝐥𝐢𝐧𝐤𝐢𝐧𝐠 𝐏𝐋𝐔𝐓𝐎 𝐰𝐢𝐭𝐡 #biology:
1. Relating PLUTO embeddings to spatial #transcriptomics across multiple cancer types.
2. Relating PLUTO embeddings to cell type and morphology.
3. Interrogating PLUTO’s embeddings with a sparse autoencoder–revealing that PLUTO embeddings encode interpretable aspects of the WSI beyond what is typically analyzed in digital pathology.
Most excitingly (to us!) we found that deconstructing PLUTO embeddings with the sparse autoencoder revealed unexpected structure in the embeddings. This structure captured subtle aspects of patches from whole slide images (WSIs) including cell morphological subtypes, tissue geometry and collagen alignment, and even tissue preparation characteristics such as small amounts of surgical ink–shown in the figure below.
Taken together, these results ground PLUTO in fundamental tumor biology and improve our confidence that PLUTO’s embeddings are biologically interpretable, powerful, and general for downstream tech applications.
You can read the preprint here: https://lnkd.in/eD8JhrFs#CancerResearch#Biotech#MachineLearning#DeepLearning#AI#FoundationModels#Pathology#SpatialBiology
NicheCompass analyzes spatial omics data to map tissue architecture & cell niches. This method integrates diverse data, leverages knowledge of cellular communication, and learns a latent space of cells across tissues. This enables the construction and querying of spatial reference atlases, providing valuable insights into tissue organization and function. #bioinformatics#spatialbiology#tissuearchitecture#cellniches
Neuralink's recent disclosure of wire retraction in its first patient's brain during a human trial is a known issue that the company had recognized from previous animal testing, according to insiders. Despite the risk, Neuralink proceeded, aiming to empower paralyzed patients to control digital devices through thought alone.
The FDA was aware of this potential issue, but its significance remains uncertain. Neuralink's ability to address the wire retraction and potential challenges ahead will determine the trial's future success. However, redesigning the threads poses its own risks, including potential brain tissue damage.
Despite setbacks, the implant has shown promise, enabling patients like Noland Arbaugh to perform tasks by thought alone. While specialists acknowledge the complexity of addressing wire movement, ongoing research and troubleshooting are underway. Stay tuned for updates on Neuralink's progress.
#Neuralink#BrainImplant#MedicalTechnology#FDA#Paralysis#Innovation#HealthTech#Neuroscience#Research#BrainScience#ElonMusk
Excited to share this new research, were the authors, including Joselyn Soto, Ph.D. at UCLA, use ΔFosB mapping to look at changes in neural activity patterns in the striatum and cortical areas in a mouse model of obsessive-compulsive disorder and their reversal using astrocyte-specific interventions. To do this, the authors utilized our #SHIELD post-fixation and #Clear delipidation protocols to optically clear brain tissue and #SmartSPIM light sheet microscope to capture the detailed 3D datasets for ΔFosB analysis.
🔗 Read full article: https://lnkd.in/gzt82RYT
Yesterday, a team of PathAI scientists led by Nhat Le, John Abel, Sean Grullon, and Dinkar Juyal published "𝐈𝐧𝐭𝐞𝐫𝐩𝐫𝐞𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐨𝐧 𝐚 𝐩𝐚𝐭𝐡𝐨𝐥𝐨𝐠𝐲 𝐟𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐦𝐨𝐝𝐞𝐥 𝐫𝐞𝐯𝐞𝐚𝐥𝐬 𝐛𝐢𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥𝐥𝐲 𝐫𝐞𝐥𝐞𝐯𝐚𝐧𝐭 𝐞𝐦𝐛𝐞𝐝𝐝𝐢𝐧𝐠𝐬 𝐚𝐜𝐫𝐨𝐬𝐬 𝐦𝐨𝐝𝐚𝐥𝐢𝐭𝐢𝐞𝐬." This preprint is a continuation of our initiative to construct pathology-centric #foundationmodels and links PLUTO, PathAI’s foundation model, with interpretable aspects of tumor biology. https://lnkd.in/eD8JhrFs
Foundation models are gaining traction in #pathology, however, the applicability of foundation models to diverse use cases rests on their ability to capture latent biology without supervised training.
𝐓𝐨 𝐭𝐞𝐬𝐭 𝐭𝐡𝐢𝐬, 𝐰𝐞 𝐟𝐨𝐜𝐮𝐬𝐞𝐝 𝐨𝐧 𝐭𝐡𝐫𝐞𝐞 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡𝐞𝐬 𝐟𝐨𝐫 𝐥𝐢𝐧𝐤𝐢𝐧𝐠 𝐏𝐋𝐔𝐓𝐎 𝐰𝐢𝐭𝐡 #biology:
1. Relating PLUTO embeddings to spatial #transcriptomics across multiple cancer types.
2. Relating PLUTO embeddings to cell type and morphology.
3. Interrogating PLUTO’s embeddings with a sparse autoencoder–revealing that PLUTO embeddings encode interpretable aspects of the WSI beyond what is typically analyzed in digital pathology.
Most excitingly (to us!) we found that deconstructing PLUTO embeddings with the sparse autoencoder revealed unexpected structure in the embeddings. This structure captured subtle aspects of patches from whole slide images (WSIs) including cell morphological subtypes, tissue geometry and collagen alignment, and even tissue preparation characteristics such as small amounts of surgical ink–shown in the figure below.
Taken together, these results ground PLUTO in fundamental tumor biology and improve our confidence that PLUTO’s embeddings are biologically interpretable, powerful, and general for downstream tech applications.
You can read the preprint here: https://lnkd.in/eD8JhrFs#CancerResearch#Biotech#MachineLearning#DeepLearning#AI#FoundationModels#Pathology#SpatialBiology
