Nvidia is determined to kill in the field of deep learning. After the release of two deep learning and autonomous driving products, according to siliconangle, computer graphics chip maker Nvidia is working with the National Cancer Institute and the US Department of Energy to develop an artificial intelligence computer framework designed to enhance cancer research. The new framework is called the Cancer Distributed Learning Environment (CANDLE). Nvidia said it will try to achieve the goal of the Cancer Moonshot program announced earlier this year by Obama, which will complete the research in the field of cancer that took 10 years to complete in five years. Why can artificial intelligence help fight cancer? Nowadays, with the advancement of imaging, model research and genetic research, there is more and more clinical data flowing into the hands of cancer researchers. According to IBM data, the clinical data from a single patient has reached 0.4TB, which is roughly equivalent to 50,000 books. The Argonne National Laboratory, part of the US Department of Energy, reported 1 TB, equivalent to 130,000 books. Cancer often contains hundreds of diseases, each with thousands of causes, so the goal of the study is to accurately select the appropriate treatment for the patient. Such massive data is obviously difficult to rely on human resources, but there is no tool to effectively process the data, helping researchers accurately predict how specific tumors respond to specific drugs, and what causes cancer cells to evolve and make therapy ineffective. . This has made it difficult for researchers to develop new therapies using the above data. Warren Kibbe, director of the National Cancer Institute, said cancer researchers are very good at generating multiple types of data from genomic data, proteomic data, and imaging data, but they are not particularly good at integrating these data to achieve consistency. Model and effectively predict whether the tumor will respond to established therapies. Therefore, the National Cancer Institute cooperates with the National Energy Administration, and CANDLE is the key to their cooperation. CANDLE plans to use machine learning algorithms to find patterns and patterns in large databases. As a type of artificial intelligence, with the addition of new data, machine learning can self-learn and improve. With the help of the CANDLE platform, researchers can develop new predictive models based on big data to find more precise therapies for specific tumors. These models may ultimately help scientists discover directions for improving therapies or conducting new experiments.
Ventilators breathe for patients who cannot breathe on their own because of afflictions such as disease, trauma or congenital defects. Ventilators are connected to patients by means of breathing circuits and endotracheal tubes. Problems associated with ventilators include wounds caused during the patient`s intubation, excessive pressure in the lungs, safety valves damaged or not adjusted, cross contamination and infection.
1. Single use
Circuit Build An Artificial Airway, Anaesthesia Breathing Circuit, Anaesthesia Machine Circuit, Rebreathing Systems, Bain Circuit Anesthesia Hangzhou Trifanz Medical Device Co., Ltd , https://www.cfzmeds.com.jpg)
2. EO sterilization is optional;
3. Individual PE bag or paper-poly pouch is optional;
4. Standard connector ( 15mm, 22mm );
5. Made mainly of EVA material, very flexible, kinking resistant, very high quality, gas sampling line can be attached outside of circuit;
6. Weighs less than two-limb circuits, reduces torque on the patient`s airway;
7. With one single limb, offers more versatility in use and transportation;
8. The length can be customized variously: 1.2m/1.5m/1.8m/2.4m/2.7m etc.;
9. The breathing circuit can be equipped with Breathing Bag (latex or latex free), Filter, HMEF, Catheter Mount, Anesthesia Mask or Extra Tube etc.
Both IBM and Nvidia will enter the AI ​​field: developing smart anti-cancer
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