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BEGIN:VEVENT
UID:news1410@biomedizin.unibas.ch
DTSTAMP;TZID=Europe/Zurich:20250116T073425
DTSTART;TZID=Europe/Zurich:20250120T130000
SUMMARY:Guest Seminar: Artificial intelligence for individualized diagnosti
 cs of infection
DESCRIPTION:Artificial intelligence for individualized diagnostics of infec
 tion\\r\\n\\r\\nAbstract:\\r\\nPrecision diagnostics has evolved with the 
 advent of novel technologies that generate large-scale data. This data has
  the potential to redefine disease starting from an individual’s baselin
 e. Artificial intelligence (AI) holds the promise to detect patterns in co
 mplex data and across data modalities. However\, the clinical use of these
  methods is hindered from the intricate evaluation and validation necessar
 y to access clinical practice.\\r\\nThe implementation of AI models in hea
 lthcare must navigate a traditionally conservative regulatory landscape\, 
 while addressing the specific demands of medical software development thro
 ugh software engineering. We will explore the technological evolution driv
 ing medical data generation and examine the advancements of artificial int
 elligence in medicine. These insights will be applied to the case of indiv
 idualized diagnostics for infectious diseases\, elaborating on the steps r
 equired to medical software into clinics.
X-ALT-DESC:<p>Artificial intelligence for individualized diagnostics of inf
 ection</p>\n\n<p>Abstract:</p>\n<p>Precision diagnostics has evolved with 
 the advent of novel technologies that generate large-scale data. This data
  has the potential to redefine disease starting from an individual’s bas
 eline. Artificial intelligence (AI) holds the promise to detect patterns i
 n complex data and across data modalities. However\, the clinical use of t
 hese methods is hindered from the intricate evaluation and validation nece
 ssary to access clinical practice.</p>\n<p>The implementation of AI models
  in healthcare must navigate a traditionally conservative regulatory lands
 cape\, while addressing the specific demands of medical software developme
 nt through software engineering. We will explore the technological evoluti
 on driving medical data generation and examine the advancements of artific
 ial intelligence in medicine. These insights will be applied to the case o
 f individualized diagnostics for infectious diseases\, elaborating on the 
 steps required to medical software into clinics.</p>
DTEND;TZID=Europe/Zurich:20250120T140000
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