Publications

  • Conference Proceedings
  • KEM methodology papers
  • Formal Concept Analysis
  • Patient Stratification Using KEM
  • Real World Evidence Using KEM
  • Systems Biology, Drug Repositioning
  • Blood Biomarkers
  • Pharmacokinetics
  • Genomic Patient Profiling
  • Observational Studies
  • Ariana Citations

Clinical Trials on Alzheimer's Disease Conference (CTAD) 2020

PhUSE-US : Machine Learning, Artificial Intelligence & Connected Health, Pharmaceutical Users Software Exchange US 2020

American Society for Experimental Neurotherapeutics - ASENT 2019 Annual Meeting, 17 July, Maryland, USA

Clinical Trials on Alzheimer's Disease conference (CTAD) 2019, San Diego, USA

American Association for Cancer Research Annual Meeting (AACR) 2019, Atlanta, USA

Options X for the Control of Influenza, September, 2019, Singapore

Alzheimer's Association International Conference (AAIC), 2019, Los Angeles, USA

European Association for the Study of Diabetes (EASD), 2019, Barcelona, Spain

Research in Computational Molecular Biology, Computational Cancer Biology (RECOMB-CCB) 22nd 2018, Paris, France

European Society of Surgical Oncology (ESSO) 38th 2018, Budapest, Hungary

Alzheimer's Association International Conference (AAIC) 2018, Chicago, USA

Clinical Trials on Alzheimer's Disease conference (CTAD) 2017, Boston, Massachusetts

API (Asociacion Panamericana de Infectologia) - XVIII Congresso Panamericano de Infectologia, 2017, Panama

Anavex Life Sciences Investor Presentation, 12 Oct 2017

TAT 2017: 15th International Congress On Targeted Anticancer Therapies, 6-8 Mar 2017, Paris, France

ASTMH 2016: 65th Annual Meeting Of The American Society Of Tropical Medicine And Hygiene, 13-17 Nov 2016, Atlanta, USA

Institut Pasteur International Network Scientific Symposium, 29 Nov-2 Dec 2016, Paris, France

WIN 2014: Breakthrough Biomarker Investigations And Combined Therapeutic Approaches For Precision Cancer Medicine, 23-24 June 2014, Paris, France

EACR-23: 23rd Biennial Congress Of The European Association For Cancer Research. From Basic Research To Personalised Cancer Treatment, 5-8 July 2014, Munich, Germany

Australian Pain Society (APS) 2013, Canberra, Australia

48th Annual Meeting Of The EASL, April 2013, Amsterdam, The Netherlands

The Liver Meeting 2012, November 2012, Boston, Massachussets, USA

47th Annual Meeting Of The EASL, April 2012, Barcelona , Spain

19th International Symposium On Hepatitis C Virus And Related Viruses, October 2012, Venice, Italy

18th International Symposium On Hepatitis C Virus And Related Viruses, September 2011, Seattle, Washington USA

Digestive Disease Week, May 2010, New Orleans, LA

45th Annual Meeting Of The EASL, April 2010, Vienna, Austria

Solvay Pharmaceuticals Conferences 2008

KEM methodology papers

Jullian, N., Tognetti, Y. & Afshar, M. Applications of Rule-Based Methods to Data Mining of Polypharmacology Data Sets. Data Min. Drug Discov. 57, 241–256 (2013).

KEM methodology papers

Jullian, N., Jourdan, N. & Afshar, M. Hypothesis Generation for Scientific Discovery . Examples from the Use of KEM ® , a Rule-Based Method for Multi- Objective Analysis and Optimization. Towar. drugs Futur. key issues lead Find. lead Optim. (2008).

KEM methodology papers

Afshar, M., Dartnell, C., Luzeaux, D., Sallantin, J. & Tognetti, Y. Aristotle’s square revisited to frame discovery science. J. Comput. 2, 54–66 (2007).

KEM methodology papers

Sallantin, J., Dartnell, C. & Afshar, M. A pragmatic logic of scientific discovery. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) vol. 4265 LNAI 231–242 (Springer Verlag, 2006).

KEM methodology papers

“Is the Efficacy of Milnacipran in Fibromyalgia Predictable? A Data-Mining Analysis of Baseline and Outcome Variables”, L Abtroun, P Bunouf, RM Gendreau and O Vitton, Clin. J. Pain, 32 (2016) 435–440.

KEM methodology papers

“Hypothesis Generation for Scientific Discovery. Examples from the Use of KEM®, a Rule-Based Method for Multi-Objective Analysis and Optimization”, Nathalie Jullian, Nathalie Jourdan, Mohammad Afshar, Solvay Pharmaceuticals Conferences, 18 (2008), 75-80.

Formal Concept Analysis

Dartnell, C., Martin, A., Hagège, H. & Sallantin, J. Human Discovery and Machine Learning. Int. J. Cogn. Informatics Nat. Intell. 2, 55–69 (2008).

Formal Concept Analysis

Sallantin, J., Dartnell, C. & Afshar, M. A pragmatic logic of scientific discovery. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) vol. 4265 LNAI 231–242 (Springer Verlag, 2006).

Formal Concept Analysis

Afshar, M., Lanoue, A. & Sallantin, J. Multiobjective/multicriteria optimization and decision support in drug discovery. in Comprehensive Medicinal Chemistry II vol. 4 767–774 (Elsevier, 2006).

Patient Stratification Using KEM

Hampel, H. et al. A precision medicine framework using artificial intelligence for the identification and confirmation of genomic biomarkers of response to an Alzheimer’s disease therapy: Analysis of the blarcamesine (ANAVEX2-73) Phase 2a clinical study. Alzheimer’s Dement. Transl. Res. Clin. Interv. 6, 1–15 (2020).

Patient Stratification Using KEM

Abtroun, L., Bunouf, P., Gendreau, R. M. & Vitton, O. Is the efficacy of milnacipran in fibromyalgia predictable? A data-mining analysis of baseline and outcome variables. Clin. J. Pain 32, 435–440 (2016).

Real World Evidence Using KEM

Macias, A. E. et al. Mortality among hospitalized dengue patients with comorbidities in Mexico, Brazil, and Colombia. Am. J. Trop. Med. Hyg. 105, 102–109 (2021).

Real World Evidence Using KEM

Maciás, A. E. et al. Real-World Evidence of Dengue Burden on Hospitals in Mexico: Insights From the Automated Subsystem of Hospital Discharges (Saeh) Database. Rev. Investig. Clin. 71, 168–177 (2019).

Real World Evidence Using KEM

Werneck, G. L. et al. Comorbidities increase in-hospital mortality in dengue patients in Brazil. Mem. Inst. Oswaldo Cruz 113, 1–5 (2018).

Systems Biology, Drug Repositioning

Barretina, J. et al. The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity. Nat. 2012 4837391 483, 603–607 (2012).

Systems Biology, Drug Repositioning

Garnett, M. J. et al. Systematic identification of genomic markers of drug sensitivity in cancer cells. Nat. 2012 4837391 483, 570–575 (2012).

Systems Biology, Drug Repositioning

Metz, J. T. et al. Navigating the kinome. Nat. Chem. Biol. 2011 74 7, 200–202 (2011).

Systems Biology, Drug Repositioning

Keiser, M. J. et al. Predicting new molecular targets for known drugs. Nat. 2009 4627270 462, 175–181 (2009).

Systems Biology, Drug Repositioning

Karaman, M. W. et al. A quantitative analysis of kinase inhibitor selectivity. Nat. Biotechnol. 2008 261 26, 127–132 (2008).

Blood Biomarkers

Hampel, H. et al. Blood-based systems biology biomarkers for next-generation clinical trials in Alzheimer’s disease. 21, 177–191 (2019).

Blood Biomarkers

Shen, Q. et al. A targeted proteomics approach reveals a serum protein signature as diagnostic biomarker for resectable gastric cancer. EBioMedicine 44, 322–333 (2019).

Blood Biomarkers

Mereiter, S. et al. The Thomsen-Friedenreich Antigen: A Highly Sensitive and Specific Predictor of Microsatellite Instability in Gastric Cancer. J. Clin. Med. 7, 256 (2018).

Pharmacokinetics

Dilly, S. J. et al. Clinical Pharmacokinetics of a Lipid-Based Formulation of Risperidone, VAL401: Analysis of a Single Dose in an Open-Label Trial of Late-Stage Cancer Patients. Eur. J. Drug Metab. Pharmacokinet. 44, 557–565 (2019).

Genomic Patient Profiling

Castro, M. P. et al. Utility of Serial Transcriptomic Analyses to Characterize the Resistome and to Refine Treatment Selection for Metastatic Colon Cancer: Case Report. Clin. Colorectal Cancer 20, 96–99 (2021).

Genomic Patient Profiling

Rodon, J. et al. Genomic and transcriptomic profiling expands precision cancer medicine: the WINTHER trial. Nat. Med. 25, 751–758 (2019).

Genomic Patient Profiling

Bund, C. et al. An integrated genomic and metabolomic approach for defining survival time in adult oligodendrogliomas patients. Metabolomics 15, 1–11 (2019).

Observational Studies

Ouss, L. et al. Behavior and interaction imaging at 9 months of age predict autism/intellectual disability in high-risk infants with West syndrome. Transl. Psychiatry 10, (2020).

Observational Studies

Ouss, L. et al. Developmental trajectories of hand movements in typical infants and those at risk of developmental disorders: An observational study of kinematics during the first year of life. Front. Psychol. 9, 1–15 (2018).

Ariana Citations

Vatansever, S. et al. Artificial intelligence and machine learning-aided drug discovery in central nervous system diseases: State-of-the-arts and future directions. Medicinal Research Reviews vol. 41 1427–1473 (2021).

Ariana Citations

Boniolo, F. et al. Artificial intelligence in early drug discovery enabling precision medicine. Expert Opin. Drug Discov. 16, 991–1007 (2021).

Ariana Citations

Brunese, L., Mercaldo, F., Reginelli, A. & Santone, A. An ensemble learning approach for brain cancer detection exploiting radiomic features. Comput. Methods Programs Biomed. 185, 105134 (2020).

Ariana Citations

Kim, C., Son, Y. & Youm, S. Chronic disease prediction using character-recurrent neural network in the presence of missing information. Appl. Sci. 9, 2170 (2019).

Ariana itations

Vellas, B., Bain, L. J., Touchon, J. & Aisen, P. S. Advancing Alzheimer’s Disease Treatment: Lessons from CTAD 2018. J. Prev. Alzheimer’s Dis. 6, 198–203 (2019).