Urology


Artificial Intelligence is Altering Healthcare, but Not with "Magic"

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"Let's say the urologist ordered a prostate specific antigen (PSA) test and advised the internist to have the patient follow up in three months," he said. "Maybe we called the patient twice; he missed an appointment; he doesn't return our messages. Or maybe I thought the urologist was following up, and he thought I was doing it, and it turns out cancer is developing in the patient and he doesn't know it."


Predicting Aggressive Prostate Cancer with AI – NVIDIA Developer News Center

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University of Alberta scientists developed a deep learning-based prostate cancer diagnostic platform that only uses a single drop of blood which will allow men to bypass the current painful biopsy methods. Using a GTX 1060 GPU, CUDA and the MathWorks Neural Network Toolbox, the scientists' trained their model on information from millions of cancer cell nanoparticles in the blood to recognize the unique fingerprint of aggressive prostate cancer. To test their method, they evaluated a group of 377 men who were referred to their urologist with suspected prostate cancer and found that their system called Extracellular Vesicle Fingerprint Predictive Score (EV-FPS) correctly identified men with aggressive prostate cancer 40 percent more accurately than the most common test in wide use today. "Higher sensitivity means that our test will miss fewer aggressive cancers," said John Lewis, the Alberta Cancer Foundation's Frank and Carla Sojonky Chair of Prostate Cancer Research at the University of Alberta.


MedExpress in talks to deliver morning-after pill by drone

Daily Mail

An online pharmacy is planning to use drones to deliver the morning-after pill and Viagra following successful UK trials. But in the trial, the emergency contraception pill was carried at below 25C by a drone and successfully delivered in Broadstairs, Kent. We're considering making drone delivery part of our future service and are in talks to work out how we can do this. A high street retailer has become the first to launch a generic emergency hormonal contraceptive pill (EHC) at half the price of branded versions – prompting concerns it could result in a rise in ectopic pregnancies and STDs.


Amplifying intelligent drug design

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'The idea of understanding a disease from an evolutionary viewpoint to inform drug design still resonates today in how Exscientia is approaching the design of anticancer agents. 'I spent a season at the GlaxoWellcome labs in Stevenage making the compounds I'd designed, and vividly remember the excitement of discovering the first molecule we'd made was active.' These included topics such as the druggable genome, ligand efficiency and network pharmacology – all of which are familiar topics to drug discovery chemists today. An early success involved feeding historical data for the project that discovered erectile dysfunction drug tadalafil (Cialis) into the evolutionary drug design model.


From America to Viagra: the art of finding what you're not looking for

The Japan Times

Among the chance discoveries that have been honored with the prestigious prize are X-rays (physics, 1901), penicillin (medicine, 1945), fullerenes that paved the way for nanotechnology (chemistry, 1996), conductive polymers (chemistry, 2000), and the bacteria responsible for ulcers (medicine, 2005). He was rewarded with the first Nobel physics prize awarded in 1901. Positive serendipity (Roentgen finds something he is not looking for, and confirms it through further study). Negative serendipity (Columbus finds something he is not looking for .


BioData Mining

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Most biological network inference methods focus on the definition of gene regulatory networks, in which edges represent direct regulatory interactions between genes [2–4]. Two approaches to functional network inference: one based on the expression profile similarity and the other based on the extraction of knowledge from machine learning models. The specific focus of this paper is the network inference from rule-based machine learning models, these have been successfully applied before to extract knowledge from genetic data [17] and identify disease risk factors in a bladder cancer study [18]. To address these questions, we propose in this article a new network inference protocol, called FuNeL (Functional Network Learning).


The life-like robotic BOTTOM that could help doctors learn how to feel prostate cancer

Daily Mail

It may look strange, but this robotic rectum could help doctors and nurses detect prostate cancer. The device, made up of a prosthetic buttocks and rectum with in-built robotic technology, is designed to recreate the feel of a rectum, to help medics learn how to perform a prostate examination. It will also provide doctors and nurses feedback on their examination technique. It may look slightly strange, but this robotic rectum could help doctors and nurses detect prostate cancer. The device, made up of a prosthetic buttocks and rectum with in-built robotic technology, is designed to recreate the feel of a rectum.


Would YOU trust a robot surgeon?

Daily Mail

Cancer and heart operations could soon be carried out entirely by robots - reducing the risk of mistakes, according to new research. Scientists have shown for the first time a supervised autonomous robot can successfully perform soft tissue surgery. Although robots have been used in hospitals for decades, they can only be worked by surgeons. Now a supervised autonomous robot has been able to successfully perform soft tissue surgery, outperforming experts in open bowel surgery in pigs. Scientists have shown for the first time a supervised autonomous robot can successfully perform soft tissue surgery.