I’m beyond thrilled to share that I will be joining the @MIT Department of Biological Engineering @MITdeptofBE as an Assistant Professor in January 2026! I will also be an intramural member of the legendary Koch Institute for Integrative Cancer Research at MIT @kochinstitute
🤖 Your AI Chemist Is Here
Using machine learning, we simulate and predict how compounds behave in the body.
🧪 Absorption
💉 Distribution
⚙️ Metabolism
💧 Excretion
☠️ Toxicity
Catch red flags early. Make data-driven decisions.
#MLinPharma#ADMET#AIForHealth#ToxicityModeling #DrugDesign
🧪 Toxicity Predictor: Smarter Drug Development Starts Here ⚗️
🚨 ML-Powered ADMET Predictions
Leverage cutting-edge machine learning to predict Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) properties—before clinical trials begin.
🔍 Reduce Risk, Improve Safety
Identify potential toxicity early in the pipeline to save time, costs, and lives.
💡 Smarter Screening, Faster Insights
Our model screens compounds with precision, helping researchers design safer, more effective therapeutics.
➡️ Transform toxicology with intelligent prediction.
#ToxicityPrediction #ADMET #DrugDiscovery #MachineLearning #PharmaTech #AIinBiotech
🎯 Every Cancer Cell is Unique. So Is Our Analysis.
We use AI-powered models to understand:
✔️ How individual tumors repair DNA
✔️ Which pathways are hyperactive
✔️ Where vulnerabilities lie
🔬 Unlocking the Mysteries of Proteins with AI & 3D Tech 🧬
🚀 Protein Localization Prediction
Advanced AI models are now predicting protein cellular locations with remarkable precision—empowering researchers to map out protein distribution and decode their roles in health and disease.
🧠 Real-Time 3D Visualization
Explore proteins like never before. Our platform offers dynamic 3D visualization of protein structures within cellular compartments, giving scientists a clear window into protein behavior and interactions.
🛠️ Powerful Research Tools
Access a full suite of bioinformatics tools—from sequence analysis and structural prediction to interaction mapping—all in one place. Streamline discovery. Accelerate breakthroughs.
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#ProteinScience #Bioinformatics #AIinBiotech #3DVisualization #Proteomics #CellBiology #DrugDiscovery
BioTech Ai:
Deep learning approaches for protein subcellular localization prediction.
Predicting protein phase separation using machine learning.
Cellular organization through protein localization networks.
Gastric cancer remains a critical global challenge—but emerging biotech AI tools are accelerating hope. Advanced cancer cell repair analysis now enables deeper insights into DNA damage and therapeutic response, offering precision strategies tailored to each patient.
#desci #DePIN
Gastric cancer affects nearly 1 million people annually, leading to over 650,000 deaths worldwide.
Discover the latest insights on gastric cancer risk factors, treatment approaches, and emerging therapies in a new Seminar: https://t.co/MRlfLLxDba
@ScienceMagazine A future where microrobots are seamlessly integrated into our biology is approaching faster than expected. These nanoscale “tattoos” could redefine diagnostics, drug delivery, and human-machine interfaces at the cellular level.
@ScienceMagazine@ScienceAdvances This adds another layer to isoprene’s role beyond thermotolerance. Enhancing jasmonic acid could mean isoprene-emitting plants have built-in pest resistance mechanisms. Nature’s defense strategy keeps getting smarter.
Revolutionizing cell culture with our Smart Cell Culture System! Automates monitoring of cell growth environments and uses #AI to optimize conditions by analyzing real-time data. Boost your research with precision and efficiency! #CellCulture#Biotech#SmartLab#AIinScience #LabAutomation #CellGrowth #BioTechInnovation #ScienceTech #ResearchTools #FutureOfScience #desci
#DePIN
@AliceFromQueens Imagine calling an X-ray of a cancer patient "propaganda." This isn’t activism—it’s someone fighting to live. Defunding life-saving research because of political bias isn’t just cruel, it’s dangerous. Compassion shouldn't be partisan.
Incredible advancement! The discovery that nutrient levels regulate lysosome function through signaling lipid conversion adds a new layer to our understanding of cellular metabolism. It could have major implications for diseases like neurodegeneration and cancer, where lysosomal dysfunction plays a key role.
This highlights how sex-specific gene expression in the placenta can influence fetal development and even long-term health outcomes. It might explain why male and female fetuses respond differently to stressors during pregnancy. Looking forward to seeing how this research could inform personalized prenatal care in the future.
This injectable microchip, smaller than a grain of dust, has the potential to revolutionize the field of medicine.
A microchip capable of providing advance warning of illness, prior to symptom manifestation, is now a technological reality, delivered via a standard syringe.
Is the adoption of cybernetic medicine imminent?
Fascinating work! The dominance of type I Tregs in malaria-exposed individuals could explain why long-term immunity is so hard to achieve with vaccines. Immune regulation might be the key bottleneck, not just antigen exposure.
Scientists show that type I regulatory T cells dominate CD4+ T cell responses and underlie long-term immunity in young children and adults repeatedly exposed to malaria.
Learn more in @SciImmunology: https://t.co/MMdIy3y9yc