{"id":19624,"date":"2026-11-05T13:17:26","date_gmt":"2026-11-05T12:17:26","guid":{"rendered":"https:\/\/caimed.de\/?p=19624"},"modified":"2026-11-05T13:24:38","modified_gmt":"2026-11-05T12:24:38","slug":"ki-und-moderne-bildgebung-wiederherstellung-des-horvermogenscaimed-ki-und-moderne-bildgebung-eroffnen-neue-perspektiven-fur-die-wiederherstellung-des-horvermogens","status":"publish","type":"post","link":"https:\/\/caimed.de\/en\/ki-und-moderne-bildgebung-wiederherstellung-des-horvermogenscaimed-ki-und-moderne-bildgebung-eroffnen-neue-perspektiven-fur-die-wiederherstellung-des-horvermogens\/","title":{"rendered":"AI and advanced imaging open new perspectives for hearing restoration"},"content":{"rendered":"<p class=\"wp-block-paragraph\">How can AI help accelerate the development of new therapies for hearing loss?<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A new study in MolecularTherapy introduces CochleaNet, a deep learning framework for analysing high-resolution 3D images of the cochlea. Combining tissue clearing, light-sheet microscopy and machine learning, the approach enables automated analysis of sensory cells, auditory neurons, synapses and therapeutic protein expression.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The study involved CAIMed PI Prof. Tobias Moser and CAIMed Mentor Prof. Constantin Pape, both affiliated with the Max-Planck-Institut f\u00fcr Multidisziplin\u00e4re Naturwissenschaften and the Georg-August-Universit\u00e4t G\u00f6ttingen.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">By enabling faster and more comprehensive assessment of cochlear anatomy and gene delivery, CochleaNet supports the preclinical development of gene and optogenetic therapies for hearing loss.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The work aligns with CAIMed\u2019s Sensory Restoration mission: bringing together AI, advanced imaging and neuroscience to build the evidence needed to move promising therapeutic approaches towards clinical translation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">Read the whole Article:<\/p>","protected":false},"excerpt":{"rendered":"<p>Wie kann KI dazu beitragen, die Entwicklung neuer Therapien bei H\u00f6rverlust zu beschleunigen? Eine neue Studie in \u201eMolecular Therapy\u201c stellt \u201eCochleaNet\u201c vor, ein Deep-Learning-Framework zur Analyse hochaufl\u00f6sender 3D-Bilder der Cochlea. Durch die Kombination von Gewebekl\u00e4rung, Lichtblattmikroskopie und maschinellem Lernen erm\u00f6glicht der Ansatz eine automatisierte Analyse von Sinneszellen, H\u00f6rneuronen, Synapsen und der Expression therapeutischer Proteine. An [&hellip;]<\/p>\n","protected":false},"author":15,"featured_media":19630,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[16],"class_list":["post-19624","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-caimed"],"_links":{"self":[{"href":"https:\/\/caimed.de\/en\/wp-json\/wp\/v2\/posts\/19624","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/caimed.de\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/caimed.de\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/caimed.de\/en\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/caimed.de\/en\/wp-json\/wp\/v2\/comments?post=19624"}],"version-history":[{"count":1,"href":"https:\/\/caimed.de\/en\/wp-json\/wp\/v2\/posts\/19624\/revisions"}],"predecessor-version":[{"id":19626,"href":"https:\/\/caimed.de\/en\/wp-json\/wp\/v2\/posts\/19624\/revisions\/19626"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/caimed.de\/en\/wp-json\/wp\/v2\/media\/19630"}],"wp:attachment":[{"href":"https:\/\/caimed.de\/en\/wp-json\/wp\/v2\/media?parent=19624"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/caimed.de\/en\/wp-json\/wp\/v2\/categories?post=19624"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/caimed.de\/en\/wp-json\/wp\/v2\/tags?post=19624"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}