Icahn School of Medicine at Mount Sinai · GeneticsHuang Genomics Lab
Kuan-Lin Huang · New York, New York
Research Focus
Dr. Kuan-Lin Huang's lab focuses on developing advanced artificial intelligence tools that utilize genomic data to improve cancer risk assessment and prevention strategies. By combining genomic information with diverse health data, the team aims to provide personalized cancer predictions that account for a person's unique genetic makeup and life circumstances. This innovative research not only seeks to enhance cancer screening methods but also addresses the ethical implications of implementing these AI tools in healthcare settings.
Artificial IntelligenceGenomicsCancer Risk AssessmentPersonalized MedicineEthical ImplicationsHealth InformaticsPopulation HealthGenetic VariantsScreening Strategies
Research Aims
5AIM 01Develop AI models to identify pathogenic variants in DNA repair genes.
AIM 02Combine genetic and non-genetic health data to optimize cancer risk predictions.
AIM 03Cross-validate AI models in real-world population biobanks for clinical impact assessment.
AIM 04Construct an ethical framework for evaluating AI-driven genetic diagnostics.
AIM 05Disseminate AI predictions and ELSI recommendations to improve healthcare practices.
Skills the Lab Values
Genomic Data AnalysisArtificial Intelligence ModelingMachine LearningStatistical GeneticsData IntegrationBioinformaticsElectronic Health Record AnalysisClinical Trial DesignEthical Legal Social Implications Research
Output against the department
Publications196top 43% of dept.111th of 259
this lab
most publishedleast published
Citations16ktop 36% of dept.92nd of 259
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.