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**Talk Title**
AI in Biomedicine: Applications in Characterizing Variant Effects and
Drug Binding
**Abstract**
I will provide a more detailed abstract shortly, but for now, I plan
to cover material related to the following papers (+ some others):
The EN-TEx resource of multi-tissue personal epigenomes &
variant-impact models**
J Rozowsky et al. (2023). Cell 186: 1493-1511e40.
Leveraging a large language model to predict protein phase transition:
a physical, multiscale and interpretable approach**
M Frank et al. (2024). Proc Natl Acad Sci U S A 121: e2320510121.
Predicting Disease-Specific Histone Modifications and Functional
Effects of Non-coding Variants by Leveraging DNA Language Models**
X Wang et al.
(https://doi.org/10.1101/2025.06.15.659749)
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2 comments:
Takk for invitasjonen! Seminaret høres utrolig spennende ut, og jeg ser frem til å høre mer om bio-AI-forskning. Slike arrangementer er perfekte for å utveksle ideer. Forresten, om noen trenger gode tilbud på lydutstyr, sjekk gjerne Kjøp brukte Amazon-lydenheter – Hulii.no.
The blog post introduces an important topic—AI in biomedicine—with a focus on characterizing variant effects and drug binding. While the abstract is still pending, the mention of relevant papers indicates a research-driven approach, which adds credibility. To improve the post, providing a concise summary of key objectives or expected findings would engage readers and clarify the scope. For students preparing scientific abstracts or literature reviews, services like Assignment Help in Birmingham can guide structuring content effectively, while Rapid Assignment Help supports producing clear, polished, and well-organized academic writing suitable for both blogs and research summaries.
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