I have published a new journal paper:

[j64] Mbaye F, Lamy JB, Sembene M. Identifying the mitochondrial DNA mutations that cause cancer. Research Outbreak 2020;117:50-53

I have published a new journal paper:

[j63] Marcilly R, Douze L, Ferré S, Audeh B, Bobed C, Lillo-Le Louët A, Lamy JB, Bousquet C. How to interact with medical terminologies? Formative usability evaluations comparing three approaches for supporting the use of MedDRA by pharmacovigilance specialists. BMC Medical Informatics and Decision Making 2020;20:261

I presented my works at the Information Visualisation (iV) 2020 conference.

The paper is entitled "Comparison of four visual analytics techniques for the visualization of adverse drug event rates in clinical trials" and is available here and the presentation there or in video below:

iv2020_video.mp4

I presented my works on the use of rainbow boxes for determining synergies between drugs, at ICIMTH 2020.

My paper was entitled "Visualization of potential drug synergies". It is available here and the presentation just below in video:

icimth_video.mp4

And I obtained a Best paper award!

My students and colleagues also presented four papers:

• Saab A, Saikali M, Lamy JB: Comparison of machine learning algorithms for classifying adverse-event related 30-day hospital readmissions: Potential implications for patient safety

• Diallo AH, Camara G, Lo M, Diagne I, Lamy JB: Iconic visualization of sickle cell patients current and past health status

• Mouazer A, Sedki K, Tsopra R, Lamy JB: Visualization of drug interactions for supporting medication review

• Sedki K, Lakrafli C, Lamy JB, Tsopra R: An approach based on preference learning for identifying experts reasoning in antibiotic treatment

I have published a new journal paper:

[j60] Bouaud J, Pelayo S, Lamy JB, Prébet C, Ngo C, Teixeira L, Guezennec G, Séroussi B. Implementation of an ontological reasoning to support the guideline-based management of primary breast cancer patients in the DESIREE project. Artificial Intelligence in Medicine 2020;108:101922

I have published a new preprint:

[p1] Lamy JB. A data science approach to drug safety: Semantic and visual mining of adverse drug events from clinical trials of pain treatments. Arxiv preprint arxiv:2006.16910 2020

I have published a new journal paper:

[j54] Lamy JB, Sedki K, Tsopra R. Explainable decision support through the learning and visualization of preferences from a formal ontology of antibiotic treatments. Journal of Biomedical Informatics 2020;104C:103407

I have published a new journal paper:

[j50] Toure S, Mbaye F, Gueye MD, Fall M, Dem A, Lamy JB, Sembene M. Somatic mitochondrial mutations in oral cavity cancers among senegalese patients. Asian Pacific journal of cancer prevention (APJCP) 2019;20(7):2203-2208

I have published a new journal paper:

[j53] Tsopra R, Courtine M, Sedki K, Eap D, Cabal M, Cohen S, Bouchaud O, Mechaï F, Lamy JB. AntibioGame®: A serious game for teaching medical students about antibiotic use. International Journal of Medical Informatics 2020;136:104074

I presented my works on visual decision support for breast cancer therapy, at the ICABME 2019 congress in Tripoli.

My paper was entitled "Hierarchical visual case-based reasoning for supporting breast cancer therapy". It is available here and the presentation there.

I have published a new journal paper:

[j49] Séroussi B, Lamy JB, Prebet C, Ngo C, Teixeira L, Ugarriza A, Sekar B, Larburu N, Muro N, Guézennec G, Bouaud J. Une plateforme multimodale d’aide à la décision : Application à la prise en charge du cancer du sein dans le cadre du projet DESIREE. Technique et Science Informatiques (TSI) 2019;accepté

I presented my works on the use of icons for browsing medical terminologies, in particular in pharmacovigilance, at MEDINFO 2019.

My paper was entitled "An iconic approach to the browsing of medical terminologies". It is available here and the presentation there.

And I obtained the Best paper award (first place)!

My French book "Python et les ontologies" has been published by ENI editions.

This 310-pages book describes how to use OWL 2.0 ontologies in Python 3.x, with the Owlready2 Python module for ontology-oriented programming.

More informations (in French) on the editor website:

https://www.editions-eni.fr/livre/python-et-les-ontologies-9782409020223

I plan to translate the book in English in the coming year.

I presented my works on rainbow boxes at the International Conference Information Visualisation (iV) 2019.

The first paper, entitled "Visual explanation of simple neural networks using interactive rainbow boxes", is available here and the presentation there.

The second paper, entitled "Proportional visualization of genotypes and phenotypes with rainbow boxes: methods and application to sickle cell disease" is available here and the presentation there. It is a joint work with a PhD and colleagues from Senegal and CERPAD.