The Technion’s story has been intertwined with Israel’s for more than a century, from laying the foundations for a new nation to shaping its future.
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Immunotherapy is an evolving novel treatment that triggers the body’s own immune system to fight cancer cells. But it doesn’t work for everyone or on every type of cancer. And determining whether it will work for a particular patient takes up precious time. But there is hope on the horizon: Technion researchers are using artificial intelligence (AI) to speed up the process of making that determination, saving time in ascertaining the patient’s proper treatment plan. The study was conducted by Professor Keren Yizhak of the Ruth and Bruce Rappaport Faculty of Medicine at the Technion. Immunotherapy helps the immune system…
Have you filled a prescription for antibiotics recently? Used a virtual fitting room to try on clothes at home? Admired a new building going up in your community? You have computer science to thank — yes, even for that virtual fitting room! Computer science has improved almost every aspect of our modern lives, even for the Luddites among us. Researchers at the Technion are taking it one step further, pushing the boundaries of computer science to deliver useful, innovative solutions to complex problems plaguing our society. Minimizing Antibiotic Resistance … with Computers The use of antibiotics, while essential to curing…
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…
Finding your dream home can be a daunting, exhausting process. With so many listings to sift through, it can feel impossible to find the perfect home. It’s why Asaf Rubin, a Techion alumnus, founded Localize, a tech startup that helps homebuyers harness the power of AI and big data to find their home. The business began in Israel in 2012 under the brand name Madlan. In 2019, it rebranded as Localize and expanded to the New York City market. So far, over 40,000 aspiring homebuyers have signed up. Potential homebuyers fill in a free, simple questionnaire about preferences for neighborhoods…
Meteoric progress has been made in the world of deep learning and artificial intelligence. Yet there are virtually no medical products on the market that tap into AI’s life-changing potential. Until now. Professor Yael Yaniv of the Faculty of Biomedical Engineering joined forces with the research groups of Professors Alex Bronstein and Assaf Schuster of the Henry and Marilyn Taub Faculty of Computer Science to develop an AI-based system that analyzes electrocardiograms (ECGs) and automatically detects heart disease. The electrocardiogram, developed more than a century ago, provides important information on conditions affecting the heart. It is a quick and non-invasive…
CSRankings, the leading metrics-based ranking of the world’s top computer science institutions, has ranked the Technion number one in the field of artificial intelligence (AI) in Europe, and 15th worldwide. CSRankings also ranked the Technion 11th in the world in the subfield of machine learning. Currently, 46 Technion researchers are engaged in core AI research areas with more than 100 researchers in AI-related fields, including health and medicine, autonomous vehicles, smart cities, industrial robotics, cybersecurity, natural language processing, FinTech, human-machine interaction, and others. The Technion has also established the Machine Learning and Intelligent Systems (MLIS) research center, which pools resources…
Did you ever have the feeling that your AI-driven navigation system, while touted as the most sophisticated, isn’t giving you the fastest route but instead one it wants you to map out? Companies like Waze and Google Maps, Spotify and Apple Music, or Alexa and Siri, spend millions of dollars collecting endless data to improve their competence. But new Technion research suggests that the “warmth” of a system, defined as a system with your best interests at heart, plays a pivotal role in predicting consumers’ choice between AI systems — even more than competence. In a study published in the…