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Antibiotics are a double-edged sword: on the one hand, antibiotics are essential to curing bacterial infections. On the other hand, their use promotes proliferation of antibiotic-resistant bacteria. Using genomic sequencing techniques and machine learning analysis of patient records, researchers from the Technion – Israel institute of Technology and Maccabi KSM Research and Innovation Center have developed an antibiotic-prescribing algorithm that cuts the risk of emergence of antibiotic resistance by half. The paper, published in Science, is a collaboration between the research group of Professor Roy Kishony from the Technion Faculty of Biology and the Henry and Marilyn Taub Faculty of…
A new algorithm developed by the Technion – Israel Institute of Technology helps doctors select more effective, personalized antibiotic treatments for patients. After doctors at Maccabi Healthcare Services adopted the algorithm for patients with urinary tract infections (UTIs), they saw a 35% drop in the need to switch a patient’s antibiotic regimen. Maccabi first applied the algorithm to patients with urinary tract infections (UTIs) – the most common bacterial infection among women. Around 30% of women suffer from UTIs at least once during their lifetimes, and up to 10% experience recurrent infections. Until now, in most cases general treatment has…
Every day, manufacturing companies face costly equipment failures. What if they could detect that leaky valve before it leaked? Alumni-founded Feelit Technologies Ltd. predicts and solves machinery problems before they happen — preventing potentially dangerous equipment failures and reducing the cost of manual inspections and production downtime associated with finding and fixing faults. Feelit technology is based on sensor-packed stickers printed with nanoparticle ink. When affixed to pipes, pumps, or valves, the sensors monitor pressure, temperature, vibration, leakage, wall integrity, thickness, and other industrial parameters. The data is then analyzed in the cloud in real time and sent back to…
Pictured Above / Prof. Mirela Ben-Chen To anyone who’s seen videos of robotic arms in motion, lifting and interlocking parts in construction, it’s clear that computer science has everyday applications. In fact, the use of increasingly sophisticated robots in architectural design and manufacturing is seen as a major technological trend in the construction industry. But while complex architectural projects are often planned on computers, they are executed using construction methods that have remained virtually unchanged for decades. Human intervention is usually necessary, especially when architectural planning is based on complex spatial systems such as thin, doubly curved surfaces, known as…
There is no guarantee for preventing stroke, but eating healthy, exercising, and regular medical check-ups go a long way. Now it seems we can reduce stroke risks even more with computer science. Two Technion master’s degree students have written a machine learning algorithm that can accurately predict whether a person will develop the irregular heart rhythm atrial fibrillation (AFib) — a condition that causes one in seven strokes. Working under the supervision of Assistant Professor Joachim A. Behar, head of the Artificial Intelligence Laboratory in Medicine, Shany Biton and Sheina Gendelman accessed more than one million ECG recordings from more…
Digital platforms and technology — from Facebook and mobile phones to Zoom and virtual reality to online recommendations and shopping —now serve as the core fabric of our lives and our society, with consequences that are not always positive. In this Jacobs Technion-Cornell Institute webinar, hear how the Connective Media Hub is building new human-centered […]