Associated to the Mexican International Conference on AI MICAI 2019, Xalapa, Veracruz,
October 28, 2019, 14:00 – 18:00 hours
Place: Universidad Veracruzana, Centro de Investigación en Inteligencia Articial, CIIA room 01. See map
The MLHC workshop aims to bring together experts from ever more interacting disciplines: on one hand,computer scientists with artificial intelligence, machine learning, and big data expertise, and on the other hand,clinicians/medical researchers working on the several branches of healthcare.
MLHC supports the advancement of data analytics, knowledge discovery, and meaningful use of complex medical data by fostering collaborations and the exchange of ideas between these communities.To pursue this goal, MLHC includes invited and accepted oral presentations, to stimulate the dissemination of novel research among Mexican scientists and their partners working onthe mentioned areas.
Contact us: email@example.com, firstname.lastname@example.org.
Deadline for camera ready papers: November 2019
Papers are to be submitted to the Workshop Organizers via email. Contributions should be formatted in accordance with the Springer LNCS format guidelines and limited to 8 pages (including Abstract, Introduction, Related work, Methodology, Results & Discussion, Conclusion and Bibliography). Accepted papers will be allocated 20 minutes for oral presentation and discussion. We welcome original contributions (completed research as well as work in progress) in the following topics:
Bioinformatics & Biomedicine: tumor vs immune-system interaction, cancer early diagnosis, cancer metastasis, other complex diseases like diabetes, and epidemiology.
Methods: data science, deep learning, machine learning, and high performance computing, with applications to healthcare (prevention, diagnosis and treatment of disease and illness).
Approaches: Artificial and Computational Intelligence, and Systems Biology for healthcare.
MLHC has a peer-review process and proceedings track in the Journal of Research in Computing Science
Dr. Matías Alvarado, Depto. de Computación, CINVESTAV-IPN, email@example.com
Dr. Alfonso Rojas Domínguez, TNM-Campus León, Gto., firstname.lastname@example.org
Matías Alvarado, CINVESTAV, México (Machine Learning for healthcare)
Didier Barradas, KAUST, Arabia Saudita (Biochemistry)
Mariana Benítez Keinrad, UNAM, México (Systems Biology)
Elisa Domínguez Hüttinger, UNAM, México (Systems Biology & Mathematics)
Carlos Lara Álvarez, CINVESTAV, México (Biorobotics)
Rosana Pelayo Camacho, IMSS, México (Immunology)
Carlos Alberto Reyes, INAOE-CONACyT, México (Biosignals and Computer Medicine)
Alfonso Rojas Domínguez, TNM-ITL, México (Machine Learning for healthcare)
Carlos Villarreal Luján, UNAM, México (Biophysics)