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Founded in 1944, the American Committee for the Weizmann Institute of Science develops philanthropic support for the Weizmann Institute in Israel, and advances its mission of science for the benefit of humanity.
May 26, 2020...
Israeli researchers say they have found that autoimmune diseases, such as diabetes or thyroid dysfunctions, are generated by immune cells that become overzealous in their protective mission and end up causing harm — and they created a mathematical model that demonstrates this.
In a study published in Immunity, scientists at Rehovot’s Weizmann Institute of Science, decided to find out why some organs are susceptible to autoimmune diseases while others are not. For example, the thyroid gland is often attacked by the autoimmune disease thyroiditis — an inflammation of the thyroid gland that can cause fatigue, weight gain, confusion and depression — while other organs, like the parathyroid gland, in charge of regulating the amount of calcium in the blood and bones, are almost never hit by autoimmune diseases.
Nov 21, 2022... Weizmann Scientist, Prof. Yonina Eldar of the department of Computer Science and Applied Mathematics, explains how Artificial Intelligence can be used to improve signal processing. Signal processing is a crucial component that enables many of the devices we use today including hearing aids and medical imaging equipment, like MRI, CT and X-ray, which can all greatly benefit from better imaging and resolution. Prof. Eldar’s specializes in developing algorithms for signal processing, and for the representation and transmission of information using advanced mathematical techniques. Her lab develops AI tools and to acquire and extract information and combine them with other modes like physics or medicine to pave the way to new technologies that can see, hear, and communicate beyond existing limits. Prof. Eldar’s innovations have helped to make ultrasound devices smaller, cheaper, and uploadable to the cloud; optimize MRI scans for medical imaging, improve data storage and communications, create super-resolution microscopy, and support computational biology.
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