O47: Fine-tuned large language models on clinical notes and structured ICD-10 codes facilitate making genetic test decisions for rare diseases

Molecular genetic testing has become an integral component in diagnosing rare diseases. Despite technological advances that have lowered sequencing costs, selecting the appropriate type of genetic tests remains complex due to many factors such as accuracy, informatics costs, and logistical requirements. Currently, gene panels and exome/genome sequencing (ES/GS) are two main molecular diagnostic modalities; however, determining which one to use often relies on human experts’ interpretation of ACMG (American College of Medical Genetics and Genomics) guidelines, a process that can be slow and difficult to standardize.

Authors

Institutions

Publication Details

Journal
Genetics in Medicine Open
Published
2025-01-01
DOI
https://doi.org/10.1016/j.gimo.2025.102420
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

O47: Fine-tuned large language models on clinical notes and structured ICD-10 codes facilitate making genetic test decisions for rare diseases

Chunhua Weng, Ian M. Campbell, Cong Liu, Kai You Wang et al.
Genetics in Medicine Open
Genomics and Rare Diseases
article

O47: Fine-tuned large language models on clinical notes and structured ICD-10 codes facilitate making genetic test decisions for rare diseases

Chunhua Weng, Ian M. Campbell, Cong Liu, Kai You Wang, Quan Nguyen
article en

Abstract

Molecular genetic testing has become an integral component in diagnosing rare diseases. Despite technological advances that have lowered sequencing costs, selecting the appropriate type of genetic tests remains complex due to many factors such as accuracy, informatics costs, and logistical requirements. Currently, gene panels and exome/genome sequencing (ES/GS) are two main molecular diagnostic modalities; however, determining which one to use often relies on human experts’ interpretation of ACMG (American College of Medical Genetics and Genomics) guidelines, a process that can be slow and difficult to standardize.

Genetics in Medicine OpenVol. 3
Boston Children's Hospital (US), Children's Hospital of Philadelphia (US), Boston Children's Museum (US), Columbia University (US), University of Pennsylvania (US), Philadelphia University (US)
Openalex Percentile: Top 94%
Genomics and Rare Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

O47: Fine-tuned large language models on clinical notes and structured ICD-10 codes facilitate making genetic test decisions for rare diseases — Chunhua Weng, Ian M. Campbell, et al. · Genetics in Medicine Open (2025) | TGRS Research Map | TGRS