Bioinformatics for Clinical Diagnosis

ABOUT THE PROJECT

This group focuses its research on topics of bioinformatics, genomics, medical imaging and medical devices. In bioinformatics, we focus on: algorithms and experiments for analysis, identification and validation of diagnostic biomarkers and forecasts for diseases (including cancer) and stem cells differentiation processes. We perform computational trials (ie: Machine Learning, Artificial Intelligence) and experiments (i.e: cuture, RT-PCR, transcriptomics and genomics). In genomics, we focus on the analysis, identification and validation of mutations, genetic and epigenetic alterations in various diseases and in the use of genomic technologies such as next-generation sequencing (NGS). In Medical Imaging, we focus on computer aided diagnosis and detection via analysis, identification and validation of imaging markers in various diseases including cancer. We are interested in algorithms, techniques and computational models for obtaining knowledge and improving clinical medical diagnosis and prognosis.

We also focus on correlations between medical imaging and molecular data. In Medical Devices, we research and develop medical technology to promote innovations in diagnosis, treatment, therapy and assistance for people with disabilities, especially in pediatrics. We study the design of new robotic rehabilitation schemes to lessen the level of disability in patients with SCI or EVC sequel and enable their inclusion in social and productive activities. All these efforts are based on personalized medicine.


RESEARCH LINES

• Molecular biomarkers
• Biomarker imaging
• Disease genomics
• Drug delivery methods
• Rehabilitation devices

LEADER

Víctor Manuel Treviño Alvarado (Miembro del SNI - Nivel II)

CORE LEADERS

Edgar Emmanuel Vallejo Clemente
José Gerardo Tamez Peña
Raquel Cuevas Díaz Durán

RESEARCHERS AND STUDENTS

ADJUNCT RESEARCHER

Antonio Martinez Torteya


EXTERNAL RESEARCHER

Juan Emmanuel Martínez Ledesma

 

DOCTORAL STUDENTS

Hugo Gómez Rueda
José María Celaya Padilla
Jorge Isaac Galván Tejada

RECENT PUBLICATIONS
AUTHORS TITLE PUBLICATION
- Comparison of gene expression patterns across twelve tumor types identifies a cancer supercluster characterized by TP53 mutations and cell cycle defects. Oncogene. 2014.
- Landscape of Genomic Alterations in Cervical Carcinomas. Nature. 2014.
- Magnetization-prepared rapid acquisition with gradient echo magnetic resonance imaging signal and texture features for the prediction of mild cognitive impairment to Alzheimer’s disease progression. Journal of Medical Imaging. 2014.
- SurvExpress: An online biomarker validation tool and database for cancer gene expression data using survival analysis. PLOS One. 2013.