/channels/news_feeds/all/term/algorithm/rss en /channels/channels/news/using-ai-predict-suicidal-behaviours-students-332119 <div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p>How can we predict suicide risk in students, especially at a time when the COVID-19 pandemic has negatively affected many people’s mental health? According to researchers from Montreal and France, self-esteem represents an important predictive marker of suicidal risk. The team from ±«ÓãÖ±²¥, University of Montreal, Inserm, and Université de Bordeaux is using artificial intelligence to identify factors that accurately predict suicidal behavior in students.</p></div></div></div><div class="field field-name-field-primary-image field-type-image field-label-hidden"><div class="field-items"><div class="field-item even"><img class="no-float" src="/channels/files/channels/styles/wysiwyg_medium/public/channels/image/university-students.jpg?itok=YH9jzI-K" width="160" height="107" /></div></div></div><div class="field field-name-field-published-date field-type-datestamp field-label-hidden"><div class="field-items"><div class="field-item even"><div class="custom-multi-date"><div class="multi-date first"><span class="label">Published: </span><span class="day">28 </span><span class="month">July </span><span class="year">2021</span></div></div></div></div></div> Wed, 28 Jul 2021 13:58:53 +0000 webfull 171944 at /channels /channels/channels/news/using-online-ads-spot-human-trafficking-330687 <div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p>Researchers at ±«ÓãÖ±²¥ and Carnegie Mellon University (CMU) have designed an algorithm that detects organized human trafficking activity in online escort advertisements. Advertising is one the most common use of technology for human trafficking purposes.</p></div></div></div><div class="field field-name-field-primary-image field-type-image field-label-hidden"><div class="field-items"><div class="field-item even"><img class="no-float" src="/channels/files/channels/styles/wysiwyg_medium/public/channels/image/humantrafficking.jpg?itok=L3SZiEhz" width="160" height="86" alt="" /></div></div></div><div class="field field-name-field-published-date field-type-datestamp field-label-hidden"><div class="field-items"><div class="field-item even"><div class="custom-multi-date"><div class="multi-date first"><span class="label">Published: </span><span class="day">27 </span><span class="month">April </span><span class="year">2021</span></div></div></div></div></div> Tue, 27 Apr 2021 12:52:09 +0000 webfull 170169 at /channels /channels/channels/news/new-technology-can-detect-hundreds-proteins-single-sample-288762 <div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p>New technology developed by a team of ±«ÓãÖ±²¥ scientists shows potential to streamline the analysis of proteins, offering a quick, high volume and cost-effective tool to hospitals and research labs alike.</p> <p>Proteins found in blood provide scientists and clinicians with key information on our health. These biological markers can determine if a chest pain is caused by a cardiac event or if a patient has cancer.</p></div></div></div><div class="field field-name-field-primary-image field-type-image field-label-hidden"><div class="field-items"><div class="field-item even"><img class="no-float" src="/channels/files/channels/styles/wysiwyg_medium/public/channels/image/cover2_20180808.png?itok=fJ6ETkWd" width="160" height="51" /></div></div></div><div class="field field-name-field-published-date field-type-datestamp field-label-hidden"><div class="field-items"><div class="field-item even"><div class="custom-multi-date"><div class="multi-date first"><span class="label">Published: </span><span class="day">13 </span><span class="month">August </span><span class="year">2018</span></div></div></div></div></div> Mon, 13 Aug 2018 18:35:46 +0000 webfull 139640 at /channels