Genetics

Latest AI and machine learning research in genetics for healthcare professionals.

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Parallel DNA Sequence Alignment on High-Performance Systems with CUDA and MPI

Sequence alignment is a cornerstone of bioinformatics, widely used to identify similarities betwee...

Are Vision-Language Models Truly Understanding Multi-vision Sensor?

Large-scale Vision-Language Models (VLMs) have advanced by aligning vision inputs with text, signi...

An archaeological Catalog Collection Method Based on Large Vision-Language Models

Archaeological catalogs, containing key elements such as artifact images, morphological descriptio...

Paleoinspired Vision: From Exploring Colour Vision Evolution to Inspiring Camera Design

The evolution of colour vision is captivating, as it reveals the adaptive strategies of extinct sp...

MINIMA: Modality Invariant Image Matching

Image matching for both cross-view and cross-modality plays a critical role in multimodal percepti...

Underwater Image Restoration via Polymorphic Large Kernel CNNs

Underwater Image Restoration (UIR) remains a challenging task in computer vision due to the comple...

scReader: Prompting Large Language Models to Interpret scRNA-seq Data

Large language models (LLMs) have demonstrated remarkable advancements, primarily due to their cap...

More is Less? A Simulation-Based Approach to Dynamic Interactions between Biases in Multimodal Models

Multimodal machine learning models, such as those that combine text and image modalities, are incr...

Optimal dosing of anti-cancer treatment under drug-induced plasticity

While cancer has traditionally been considered a genetic disease, mounting evidence indicates an i...

Stochastic Model of siRNA Endosomal Escape Mediated by Fusogenic Peptides in OVCAR-3

Gene silencing via small interfering RNA (siRNA) represents a transformative tool in cancer therap...

Motif Caller: Sequence Reconstruction for Motif-Based DNA Storage

DNA data storage is rapidly gaining traction as a long-term data archival solution, primarily due ...

GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning

The integration of multi-omic data is pivotal for understanding complex diseases, but its high dim...

Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences

The availability of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) virus data post-C...

AI-Enhanced Sensemaking: Exploring the Design of a Generative AI-Based Assistant to Support Genetic Professionals

Generative AI has the potential to transform knowledge work, but further research is needed to und...

LeviTor: 3D Trajectory Oriented Image-to-Video Synthesis

The intuitive nature of drag-based interaction has led to its growing adoption for controlling obj...

Towards a mathematical framework for modelling cell fate dynamics

An adult human body is made up of some 30 to 40 trillion cells, all of which stem from a single fe...

GREGoR: Accelerating Genomics for Rare Diseases

Rare diseases are collectively common, affecting approximately one in twenty individuals worldwide...

Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA

Foundation models have made significant strides in understanding the genomic language of DNA seque...

Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs

With the rapid development of high-throughput sequencing platforms, an increasing number of omics ...

Predicting the Original Appearance of Damaged Historical Documents

Historical documents encompass a wealth of cultural treasures but suffer from severe damages inclu...

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