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New smart-drug research may help target cancer therapy

KAUST ·

KAUST researchers led by Dr. Niveen Khashab have developed thermosensitive liposomes for controlled drug release, particularly in cancer therapies. The liposomes are designed to release drugs only when they reach heated tumor tissue, minimizing systemic side effects. Cholesterol moieties are used as anchors to create a "nail" or "comb" effect, enabling temperature-triggered drug release inside cells. Why it matters: This targeted drug delivery system could significantly improve the efficacy and reduce the toxicity of cancer treatments.

Ph.D. student's innovative research wins awards

KAUST ·

KAUST Ph.D. student Khalil Moussi won two awards at the IEEE International Conference on Nano/Micro Engineered and Molecular Systems for his research on a miniaturized drug delivery system. The system, developed in collaboration with KAIMRC, uses 3D printing and wireless power to deliver drugs for coronary artery disease treatment. The device features an electrochemical micro-pump, a 3D printed reservoir with microneedles, and a wireless powering unit, allowing customization for various in vivo drug delivery applications. Why it matters: This recognition highlights KAUST's contributions to biomedical engineering and its potential to develop innovative solutions for critical healthcare challenges in the region and beyond.

Disrupting The Drug Development Process Using Multi-Modal Deep Learning and Patient-on-a-Chip Platform

MBZUAI ·

Shahar Harel, Head of AI at Quris, presented a BIO-AI approach to drug safety assessment using a 'patient-on-a-chip' platform. This platform simulates the human body and generates high-frequency microscopy and biochemical data on drug interactions, considering patient genomics and ethnicity. The data is used to train multimodal deep learning models to predict drug safety and provide patient-specific recommendations. Why it matters: This approach offers a potential alternative to animal models, promising faster and more personalized drug development while reducing safety concerns.

A new model for drug development

MBZUAI ·

MBZUAI's Professor Le Song is developing an AI-driven simulation to model the human body at societal, organ, tissue, cellular, and molecular levels. The goal is to reduce the time and cost associated with bringing new medicines to market by removing the need for wet lab biological research. Song aims to create a comprehensive model using machine learning. Why it matters: This research could revolutionize drug discovery in the region by accelerating the development process and reducing reliance on traditional research methods.

A smart bandage to heal old wounds

KAUST ·

A smart bandage developed at KAUST aims to accelerate the healing of chronic wounds. The bandage contains sensors and drug-delivery components for real-time monitoring and treatment. Why it matters: This technology could improve patient outcomes and reduce healthcare costs associated with chronic wound management in Saudi Arabia and beyond.

Big-model AI in drug design

MBZUAI ·

MBZUAI hosted a two-day workshop on "Big Model AI in Drug Design" starting February 20, 2023. The workshop featured presentations from researchers in public and private institutions working on AI and health. MBZUAI Adjunct Professor Eran Segal opened the workshop with a talk on the Human Phenotype Project. Why it matters: The event highlights the growing interest and activity in applying AI, particularly large models, to advance drug discovery and personalized medicine within the UAE's research ecosystem.

KAUST startup aims to disrupt last-mile delivery

KAUST ·

Saee, a KAUST-supported Saudi startup based in Jeddah, aims to disrupt last-mile delivery in Saudi Arabia by addressing challenges like delays and cash-on-delivery (COD) issues. They offer services such as fast COD consolidation, flexible dispatch to freelancers, and warehouse management. Saee also introduces a new concept called Cash Before Delivery (CBD) to improve cash flow for e-commerce platforms. Why it matters: This aims to solve a key bottleneck for e-commerce growth in Saudi Arabia, where COD is prevalent and creates financial inefficiencies.

A shape-shifting approach to industrial design

KAUST ·

KAUST researchers are exploring novel chemical reactors and separation processes using mathematical design, with a focus on time and shape variables to enhance transport, heat transfer, and mass transfer. By aligning design, modeling, and 3D printing, they create customized shapes with great complexity and less material. This approach allows for the creation of bespoke reactors and separation processes tailored to specific applications, improving efficiency and reducing energy consumption. Why it matters: This research demonstrates the potential of advanced manufacturing techniques to revolutionize industrial design in the Middle East's chemical and pharmaceutical sectors.