BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Sabre//Sabre VObject 4.6.1//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Europe/Zurich
X-LIC-LOCATION:Europe/Zurich
TZURL:http://tzurl.org/zoneinfo/Europe/Zurich
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19810329T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19961027T030000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:news638@ub-easyweb.ub.unibas.ch
DTSTAMP;TZID=Europe/Zurich:20260922T173757
DTSTART;TZID=Europe/Zurich:20261028T123000
SUMMARY:Systematic reviews: Why they are important and how the University M
 edical Library can support your review
DESCRIPTION:OverviewIdeally\, all experience on a specific subject should b
 e taken into account when making medical decisions. Of course\, this is ea
 sier said than done. This is exactly where systematic reviews come in. A w
 ell-done systematic review can save you the time of having to find\, read 
 and compare dozens of primary trials. But when is a systematic review "don
 e well"? This short session will explore this topic and introduce the UB M
 edicine support service that helps researchers and health professionals wi
 th their own systematic reviews.\\r\\nLecturerProf. Dr. Christian Appenzel
 ler-Herzog\, Medical Information Specialist\\r\\nTarget groupAnyone who wi
 shes to make use of either a wide range of literature\, or of literature t
 hat is as comprehensive as possible concerning a specific topic.\\r\\n\\r\
 \nRegister here\\r\\nAll Coffee Lectures Health & Science in the Autumn Se
 mester 2026
X-ALT-DESC:<p><strong>Overview</strong><br />Ideally\, all experience on a 
 specific subject should be taken into account when making medical decision
 s. Of course\, this is easier said than done. This is exactly where system
 atic reviews come in. A well-done systematic review can save you the time 
 of having to find\, read and compare dozens of primary trials. But when is
  a systematic review "done well"? This short session will explore this top
 ic and introduce the UB Medicine support service that helps researchers an
 d health professionals with their own systematic reviews.</p>\n<p><strong>
 Lecturer</strong><br />Prof. Dr. Christian Appenzeller-Herzog\, Medical In
 formation Specialist</p>\n<p><strong>Target group</strong><br />Anyone who
  wishes to make use of either a wide range of literature\, or of literatur
 e that is as comprehensive as possible concerning a specific topic.</p>\n\
 n<p><a href="https://www.eventbrite.ch/e/2001877316944" target="_blank"><s
 trong>Register here</strong></a></p>\n<p><a href="t3://page?uid=5121"><str
 ong>All Coffee Lectures Health &amp\; Science in the Autumn Semester 2026<
 /strong></a></p>
DTEND;TZID=Europe/Zurich:20261028T124500
END:VEVENT
BEGIN:VEVENT
UID:news1433@ub-easyweb.ub.unibas.ch
DTSTAMP;TZID=Europe/Zurich:20260922T174720
DTSTART;TZID=Europe/Zurich:20261104T123000
SUMMARY:Transforming Literature Screening Using AI: Smarter Tools for Evide
 nce-Based Research
DESCRIPTION:OverviewThis Coffee Lecture explores how artificial intelligenc
 e is reshaping the way we find\, prioritize\, and screen scientific litera
 ture – not only for systematic reviews\, but for any literature-intensiv
 e research project.  We will showcase intelligent tools like ASReview\, C
 ovidence\, and Rayyan for efficient screening and prioritization\, as well
  as platforms like Consensus and scite that support rapid evidence discove
 ry and citation analysis. These tools help reduce manual workload\, increa
 se transparency\, and make literature workflows more efficient and scalabl
 e.  We’ll also briefly touch on how large language models (LLMs) are be
 ing used to classify abstracts\, extract structured data\, and support sem
 i-automated decision-making in the early stages of literature analysis.\\r
 \\nTarget groupAnyone interested in the topic\\r\\nLecturerDr. Robin Seger
 er\, Information specialist psychology\\r\\n\\r\\nRegister here\\r\\nAll C
 offee Lectures Health & Science in the Autumn Semester 2026
X-ALT-DESC:<p><strong>Overview</strong><br />This Coffee Lecture explores h
 ow artificial intelligence is reshaping the way we find\, prioritize\, and
  screen scientific literature – not only for systematic reviews\, but fo
 r any literature-intensive research project. &nbsp\;We will showcase intel
 ligent tools like ASReview\, Covidence\, and Rayyan for efficient screenin
 g and prioritization\, as well as platforms like Consensus and scite that 
 support rapid evidence discovery and citation analysis. These tools help r
 educe manual workload\, increase transparency\, and make literature workfl
 ows more efficient and scalable. &nbsp\;We’ll also briefly touch on how 
 large language models (LLMs) are being used to classify abstracts\, extrac
 t structured data\, and support semi-automated decision-making in the earl
 y stages of literature analysis.</p>\n<p><strong>Target group</strong><br 
 />Anyone interested in the topic</p>\n<p><strong>Lecturer</strong><br />Dr
 . Robin Segerer\, Information specialist psychology</p>\n\n<p><a href="htt
 ps://www.eventbrite.ch/e/2001888285752" target="_blank"><strong>Register h
 ere</strong></a></p>\n<p><a href="t3://page?uid=5121"><strong>All Coffee L
 ectures Health &amp\; Science in the Autumn Semester 2026</strong></a></p>
DTEND;TZID=Europe/Zurich:20261104T124500
END:VEVENT
END:VCALENDAR