Scientific Program

Conference Series LLC Ltd invites all the participants across the globe to attend 30th World Psychiatrists and Psychologists Meet Osaka, Japan.

Day 2 :

World Psychiatrists 2018 International Conference Keynote Speaker Joel Gailledreau photo

Joel Gailledreau is the Head of the Private CIC Ambroise Pare and General Manager of PsyLib. He has founded PsyLib with the vision of helping people to access to high quality psychiatric and psychologist care, wherever they live. He has been working in the field of clinical research for 36 years and has acquired an expertise in managing psychiatric and psychologist scales and questionnaires. He is the Former President of the GICIPI, group of French investigators in clinical trial.


Aim: The aim of this study is to assess the sensitivity and thespecificity of a diagnosis procedure issued from analysis of the data of a set of self-questionnaires: HAD (Hospital scale for Anxiety and Depression) (Sigmund & Snaith), PDQ4 (Personality Diagnostic Questionnaire 4th Edition), Spiegel, Epworth, ASEX (Arizona Sexual EXperience Questionnaire) and CBI (Copenhagen Burn out Inventory).
Method: Every patient requesting mental health care to our center, along with every victim and criminal offenders sent by justice from September 1st, 2017 to March 1st, 2018 completed this set of self-questionnaires of the web site. For each of them, the diagnosis procedure generated one diagnosis hypothesis (Dg A). Next, each of them had a clinical interview with a psychiatrist or a psychologist, blind from the questionnaire data and received a clinical diagnosis (Dg B). Three diagnoses were assessed: Characterized Depression (MDD), General Anxiety (GAD) And Post-Traumatic Stress Disorder (PTSD). For each of these diagnoses, the sensitivity was defined by the percentage of Dg A among the participants with Dg B and the specificity by the percentage of Dg B among those with Dg A.
Result: Data from 155 patients, 97 victims and 66 criminal offenders were computed to generate Dg A. A total of 123 participants received a diagnosis of MDD, 78 of PTSD and 117 of GAD. The diagnosis procedure generating Dg A had 95% sensitivity for MDD, 100% for PTSD and 81% for GAD. The specificity was 88% for MDD, 94% for PTSD and 69% for GAD.
Conclusion: Analysis of self-questionnaire data may provide a real help in pre assessing patients, victims and even offenders before referring them to the most appropriate therapist.


Keynote Forum

Valerie Adrian

Bordeaux Universitary Hospital, France

Keynote: Transgender coming out in adolescence: Co-innovating therapeutical setting

Time : 10:10-10:50

World Psychiatrists 2018 International Conference Keynote Speaker Valerie Adrian photo

Adrian Valerie is a Child and Adolescent Psychiatrist working at Bordeaux University Hospital in the Reference Center for Transgender Youth and Reference Center for Adolescence Psychopathology directed by Professor Bouvard. She is a Member of the French Association of Clinical Research for Adolescence (ARCAD), Member of the French Society for Child and Adolescent Psychiatry (SFPEADA), Member of the Societe Medico-Psychologique (SMP) and Reviewer for L’Encephale.


Nowadays, the concept of transsexualism has evolved to the concept of transidentity while the binarity of gender has been replaced by gender creativity and fluidity. In a context of contemporary digital revolution, the number of transgender coming-outs in adolescence has grown significatively.Three years ago, we created a clinical center for adolescents with gender dysphoria. We provide psychopathological evaluation and care as well as access to medical Standard of Care for transgender youth. Living his transidentity at adolescence appears to be an individual and self-created process co-occuring with the developmental one. Furthermore, as coming-outs are challenging parentality in a new way, innovating therapeutical settings are needed. From watchful waiting to supporting social transition (including use of new name and prounom, changes ingender role, changes in physical appearance) and access to hormonotherapy, the transgender process in adolescence invites the therapist to co-create and therapeutical setting with the adolescent and his/her parents. We will propose to discuss the role of narrativity in the transgender coming-out process. Supporting narrative skills may be an efficient therapeutic tool that helps the construction of a narrative identity, as defined by the philosopher Paul Ricoeur and allows to take into account the importance of cultural and transgenerational considerations.

World Psychiatrists 2018 International Conference Keynote Speaker Gerald C Hsu photo

Gerald C Hsu has completed his PhD in Mathematics and majored in Engineering at MIT. He attended different universities over 17 years and studied seven academic disciplines. He has spent 20,000 hours in T2D research. First, he studied six metabolic diseases and food nutrition during 2010-2013, then conducted research during 2014-2018. His approach is "math-physics and quantitative medicine" based on mathematics, physics, engineering modeling, signal processing, computer science, big data analytics, statistics, machine learning and AI. His main focus is on preventive medicine using prediction tools. He believes that the better the prediction, the more control you have.


Background & Aim: The author has extended his 8-year T2D research along with ~1.5M data to examine the relationship among metabolic conditions, lifestyle, metabolism index, and the probability of having a heart attack or stroke.
Material & Methodology: In 2014, he researched and built a metabolism model to measure the multiple interactions of four metabolic disease outputs and six lifestyle inputs. Initially, he chose age, gender, race, family history, smoking, drinking, substance abuse, personal medical history and waistline to establish a "static'' baseline. He then applied the hemodynamics concept to develop a dynamic macro-simulated model for blood blockage and artery rupture. He utilized 368,513 data which include 72,893 "metabolic" conditions (obesity, diabetes, hypertension, hyperlipidemia) and 295,620 lifestyle conditions (food, exercise, water, sleep, stress, daily life routine) within 2,274 days (1/2012-3/2018) to compute three different sets of risk probabilities separately. Finally, he integrated them into one overall risk probability. He also conducted sensitivity analyses to cover the probability variance by using different Weighting Factors (WF).
Results: The risk probabilities are 74% in 2000 (followed by three cardiac episodes 2001-2006) From 69% in 2012 decrease to 26.4% in 2017 (compatible with 26.7% by Framingham Study) WF sensitivity:10% to 18%.
Conclusion: The mathematical simulation results are validated by past 17-years health examination reports. This big data dynamic simulation approach using math-physical medicine will provide an early warning to patients with chronic disease of having a heart attack or stroke in the future.