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Peptide Condensate Platform for High-Capacity Delivery of Hydrophobic Active Ingredients
Hydrophobic active ingredients are widely used across cosmetics, food-tech, and pharmaceuticals, yet their formulation remains a key challenge due to poor solubility, limited loading capacity, and complex delivery systems. We present a proprietary peptide-based condensate platform that enables efficient, high-capacity encapsulation of hydrophobic molecules within biocompatible, liquid-like microcompartments. This tunable and scalable technology enhances solubility […] Read More >
Genetic Engineering of B Cell Receptors for Antigen-Induced, Evolvable Antibody Secretion
We developed a platform for engineering B cells via targeted integration of antibody sequences into the immunoglobulin heavy chain (IgH) locus, enabling physiological expression as a B cell receptor (BCR) and subsequent antigen-induced secretion. Unlike conventional antibody therapies or ectopic expression systems, this approach preserves key adaptive immune functions including antigen-dependent activation, class-switch recombination (CSR), […] Read More >
A Female-Locust-Inspired Hybrid Soft-Stiff Robotic Digger: Mimetics and Implications for Digging Efficiency
Traditional subterranean propagation whether for utility infrastructure, mining, or environmental monitoring often relies on heavy, energy-intensive machinery that removes soil to create space. These methods are frequently destructive, difficult to scale down for precision applications (like biomedical surgery), and struggle in heterogeneous or granular environments. There is a critical market need for minimally invasive, energy-efficient, […] Read More >
Xeno Free Peptide–Cellulose Bioinks for 3D Bioprinting
Current 3D‑printing bioinks rely heavily on animal‑derived collagen/gelatin or GelMA, with variability, pathogen and immunogenicity concerns, and reliance on UV or chemical crosslinking that can harm cells. There is a growing demand for fully xeno‑free, mechanically tunable bioinks that print complex, load‑bearing constructs without external crosslinkers while maintaining high cell viability. The technology: A fully […] Read More >
Developing Cultivated Meat from Pluripotent Stem Cells
The global demand for sustainable, ethical, and safe meat sources has surged in recent years, driven by concerns over environmental impact, animal welfare, and food security. Traditional livestock farming, while historically the primary means of meat production, faces significant challenges including land use, greenhouse gas emissions, resource consumption and public health risks. Advances in stem […] Read More >
Source Invariant Machine Learning Platform for Robust Clinical Condition Prediction
Clinical and digital‑health models must integrate data from many heterogeneous and rapidly changing sources (EHR systems, devices, apps), making conventional models fragile when inputs or formats change. Maintaining and re‑validating separate models for each data source or version is costly and slow, limiting deployment of AI‑based decision support at scale. The technology Autoencoder modules trained […] Read More >
Innovative Micro-Structured Targets for Enhanced Laser-Driven Proton Acceleration
Introduction Laser-driven ion acceleration is an emerging promising technology for generating high-energy proton beams in a compact and cost-effective manner. By utilizing intense laser pulses to interact with solid targets, it is possible to produce ion beams with energies suitable for various applications, including medical therapy, materials science, and imaging. Traditional flat-foil targets, while well-understood, face […] Read More >
Quantum Key Distribution by Quantum Energy Teleportation
Quantum energy teleportation (QET) is an innovative technique that leverages quantum entanglement and local operations with classical feed-forward to induce extractable energy at a remote location without physically transporting energy carriers. Closely related ideas apply to quantum charge teleportation (QCT), where the same entanglement and feedforward paradigm is used to generate controlled, verifiable changes in […] Read More >
Bioactive Scaffold for Real Time, Label Free Monitoring of Wound Healing
Chronic wounds and severe burns are common, slow to heal, and costly to treat, yet clinicians mainly rely on infrequent visual inspection during dressing changes to assess healing. Existing skin substitutes and scaffolds (e.g., CEAs, synthetic matrices) support regeneration but are “blind” to cellular activity and cannot provide continuous, quantitative feedback on how well the […] Read More >
Self Supervised ECG Embeddings for Emotion and Glucose Monitoring
Emotional state and glucose monitoring typically require subjective questionnaires, invasive blood tests, or specialized sensors that are impractical for frequent or continuous use. ECG is widely available and non‑invasive, but existing models struggle to infer higher‑order states (emotion, metabolic status) from noisy, non‑stationary ECG signals, especially when labeled datasets are small. Current self‑supervised ECG methods […] Read More >