Seminar 04 June 2025 – Feasibility and economics of improved child deworming with albendazole-ivermectin

Seminar 04 June 2025 - Feasibility and economics of improved child deworming with albendazole-ivermectin

 

The BRCCH cordially invites you to join our seminar about feasibility and economics of improved child deworming.

When: Wednesday, 4th June 2025, 16:00 - 18:00 CET

Where:  Seminar room 4– Swiss Tropical and Public Health Institute, Kreuzstrasse 2, 4123 Allschwil

Registration: HERE
Directions and location information

Schedule:

      • Prof Jennifer Keiser, Prof Peter Steinmann, Prof Fabrizio Tediosi (all Swiss TPH) "Feasibility and economics of improved child deworming with albendazole-ivermectin"
      • Q&A and Closing

Speakers:

Prof Jennifer Keiser

Swiss TPH, Allschwil, Switzerland

Profile

Prof Jennifer Keiser heads the Helminth Drug Development Unit at Swiss TPH, which maintains a large and unique set of helminth-rodent models. She is also a Professor of Neglected Tropical Diseases in the Faculty of Science at the University of Basel. Her team’s research objectives include in vitro and in vivo evaluations of the biological activities of chemical compounds, assay development, preclinical studies such as pharmacokinetics and metabolism and clinical trials in helminthiasis-endemic countries, particularly in Côte d’Ivoire, the Lao People’s Democratic Republic, Russia and Tanzania. Prof Keiser holds a five-year ERC Advanced Grant and is leading a five-year multi-partner EU grant to develop new drugs against neglected helminth infections.

Prof Jennifer Keiser leads the BRCCH project: FACEIT: Feasibility and Economic Evaluation of Improved Child Deworming. Read more here.

Prof Peter Steinmann

Swiss TPH, Allschwil, Switzerland

Profile

 

Dr Peter Steinmann is a trained epidemiologist and public health specialist and holds a habilitation (associate professorship) at the University of Basel. His research interests include the epidemiology and sustainable control of intestinal helminth and schistosome infections; the impact of intestinal parasite infections on child health, nutrition and well-being; the transmission of Mycobacterium leprae and post-exposure prophylaxis for contact and the elimination and eradication of neglected tropical diseases (NTDs). He has a track record of work related to NTDs and public health in over two dozen countries over the last 15 years, including four years in China. He is currently deputy head of unit. His technical expertise includes NTD research and control programme implementation in China, Central and South-East Asia, Africa and Brazil, public health, WASH, health systems, data quality and surveillance and epidemiological surveys.

Prof Peter Steinmann co- leads the BRCCH project: FACEIT: Feasibility and Economic Evaluation of Improved Child Deworming. Read more here.

Prof Fabrizio Tediosi

Swiss TPH, Allschwil, Switzerland

Profile

Prof Fabrizio Tediosi leads the Health Systems and Policies group in the Department of Epidemiology and Public Health at the Swiss Tropical and Public Health Institute (Swiss TPH) and is a professor at the University of Basel. He holds a degree in economics and management from the University of Pavia, Italy, an MSc in health economics from the University of York, UK and a PhD in international public health from the University of Basel. He is an economist specializing in health policy analysis, the economic evaluation of priority setting, healthcare costing, the organization and financing of health systems, the economics of drugs, the economics of ageing and international development cooperation. His research interests also include universal health coverage, the economic and social implications of the elimination and eradication of neglected tropical diseases and global health governance.

Prof Fabrizio Tediosi co- leads the BRCCH project: FACEIT: Feasibility and Economic Evaluation of Improved Child Deworming. Read more here.

Dr Ece Özkan Elsen appointed as BRCCH Professor of Paediatric Digital Health Data Analysis

Dr Ece Özkan Elsen appointed as BRCCH Professor of Paediatric Digital Health Data Analysis

In July 2025, Dr Ece Özkan Elsen will join the Basel Research Centre for Child Health as a Tenure-Track Assistant Professor in Pediatric Digital Health Data Analysis. She will be affiliated with the Department of Biomedical Engineering of the University of Basel, where she will continue her research efforts on developing machine learning methods that are easy to interpret, fair, and generalizable for paediatric care.

 

Dr Özkan Elsen’s research focuses on computational models that integrate medical images, clinical data, and additional modalities such as physiological signals to support clinicians in the diagnosis and management of paediatric diseases. Specifically, she aims to tackle the main challenges affecting the performance of machine learning models, including data scarcity, variability across datasets from different sources and algorithmic bias. By integrating multi-modal datasets and drawing inspiration from human behaviour, she will develop interpretable artificial intelligence-driven healthcare solutions that will contribute to advance precision medicine for children and adolescents.

Further details about Dr Özkan Elsen’s research interests can be found here.

 

Seminar 03 March 2025 – OptiThyDose: Intelligent Digital Decision Support Tool to Personalise Dosing for Children with Thyroid Diseases

Seminar 03 March 2025 -Personalising Dosing for Children with Thyroid Diseases

 

The BRCCH cordially invites you to join our seminar about an intelligent digital decision support tool to personalise dosing for children with thyroid diseases.

When: Monday, 3rd March 2025, 16:00 - 18:00 CET, to be followed by an apéro

Where:  Seminarraum U1.191– Biozentrum, University of Basel, Spitalstrasse 41, 4056 Basel

Registration: HERE
Directions and location information

Schedule:

      • Welcome by Prof Marc Pfister (University Children's Hospital Basel, Switzerland)
      • Keynote by Prof Gabor Szinnai (University Children's Hospital Basel, Switzerland): "The clinical problem with thyroid diseases in children"
      • Keynote by Dr Britta Steffens (University Children's Hospital Basel, Switzerland): "The pharmacometric approach to solve the problem"
      • Keynote by Freya Bachmann (University of Konstanz, Germany): "The combination of pharmacometrics with optimal control theory"
      • Q&A and Closing
      • Networking Apéro

Speakers:

Prof Marc Pfister

University Children's Hospital Basel, Switzerland

Moderator

Profile

Prof Marc Pfister, MD, is a Professor of Pharmacometrics and Pharmacology in the Medical Faculty at the University of Basel, Chair of the Paediatric Pharmacology Department at University Children’s Hospital Basel (UKBB) and Head of SwissPedPha, the Swiss Platform for Pharmacology and Pharmacometrics Research in Paediatrics. He co-founded the American Conference on Pharmacometrics (ACoP) and the International Society of Pharmacometrics (ISoP). In the paediatric pharmacology research centre at UKBB, he leads a research group containing mathematicians, statisticians, engineers, pharmacologists and clinicians applying innovative pharmacometrics, control theory, machine learning and other AI-based approaches in order to develop clinical decision support systems with the goal of enhancing and personalizing treatments in neonates, infants, children and adolescents.

Prof Marc Pfister co-leads the BRCCH project: OptiThyDose: Intelligent Digital Decision Support Tool to Personalise Dosing for Children with Thyroid Diseases. Read more here.

Prof Gabor Szinnai

University Children's Hospital Basel, Switzerland

Talk: "The clinical problem with thyroid diseases in children"

Profile

Prof Gabor Szinnai is Head of Paediatric Endocrinology and Diabetology at University Children’s Hospital Basel (UKBB) and a research group leader in the Department of Clinical Research at University Hospital Basel. He trained in paediatric endocrinology in Basel and at L’Hôpital Necker – Enfants Malades in Paris, France. He is a board member of the National Committee for Rare Diseases (KOSEK) in Switzerland. His longstanding research interests are thyroid diseases in childhood with a special focus on genetic thyroid diseases and individualized pharmacotherapy for patients with thyroid diseases from birth to adulthood. He is a member of the Consensus Guideline Group for Congenital Hypothyroidism of the ENDO-European Reference Network (ERN) Initiative endorsed by the European Society for Paediatric Endocrinology (ESPE) and the European Society for Endocrinology (ESE). In 2012, he was awarded a Visiting Professorship Grant for Rare Endocrine Diseases by the ESPE.

Prof Gabor Szinnai co-leads the BRCCH project: OptiThyDose: Intelligent Digital Decision Support Tool to Personalise Dosing for Children with Thyroid Diseases. Read more here.

Dr Britta Steffens

University Children's Hospital Basel, Switzerland

Talk: "The pharmacometric approach to solve the problem"

Profile

Dr. Britta Steffens studied mathematics at the University of Konstanz, Germany, specializing in statistics. She has more than 12 years of university-based experience in statistical modelling, pattern recognition and data analysis, as well as (undergraduate) teaching. In 2020, she joined the Paediatric Pharmacology Department at University Children’s Hospital Basel (UKBB) as an interdisciplinary scientific researcher. Her main research topics are the analysis and modelling of clinical data in the context of developing decision support tools by applying mathematical-statistical methods and approaches from pharmacometrics and machine learning.

Dr. Britta Steffens is a researcher in the BRCCH project: OptiThyDose: Intelligent Digital Decision Support Tool to Personalise Dosing for Children with Thyroid Diseases. Read more here.

Freya Bachmann

University of Konstanz, Germany

Talk: "The combination of pharmacometrics with optimal control theory"

Profile

Freya Bachmann is a PhD student in the Department of Mathematics and Statistics at the University of Konstanz, Germany. In collaboration with University Children’s Hospital Basel (UKBB), she applies techniques from optimal control theory and numerical optimization to pharmacometric models in order to compute optimal individualized dosing regimens. In 2019, she received the American Conference on Pharmacometrics Trainee Award for outstanding research and gave an oral presentation of her work entitled “Computing the Optimal Individual Dosing Regimen with Constraints on Model States to Include Side Effects” at the main conference in Florida.

Freya Bachmann is a researcher in the BRCCH project: OptiThyDose: Intelligent Digital Decision Support Tool to Personalise Dosing for Children with Thyroid Diseases. Read more here.

University of Basel Seeks Professor of Paediatric Infectious and Emerging Diseases Modelling

University of Basel Seeks Professor of Paediatric Infectious and Emerging Diseases Modelling

visual: University of Basel, Mark Niedermann

 

The Faculty of Medicine of the University of Basel, Switzerland invites applications for a Tenure Track Assistant Professor, Associate or Full Professor of Paediatric Infectious and Emerging Diseases Modelling to be embedded in the BRCCH.

The BRCCH and its future Paediatric Digital Health Hub is a multi-disciplinary research centre creating new healthcare solutions for unmet medical needs related to communicable and non-communicable pathologies of significant burden to children and adolescents, irrespective of an individual's societal conditions.

Your position

The successful candidate will develop an internationally competitive research programme in Paediatric lnfectious and/or Emerging Diseases Modelling with an emphasis on clinical translation tailored for the special needs of children and adolescents. You will develop novel, integrative disease modelling approaches to investigate factors that influence disease development and outcomes in paediatric populations across different geographical and socio-economic settings, with special emphasis on low- and middle-income countries. Close collaborations are expected with clinical partners, scientists at the University of Basel and ETH Zurich in Basel, and within the Basel life sciences cluster.

The Master and Ph.D. programmes of the University's Medical and Sciences Faculties provide opportunities for teaching (in English).

Your profile

We expect from the candidate a genuine interest in interdisciplinary academic work and several years of experience in mathematical and computational modelling of health-related and epidemiological data. Experience with modelling of paediatric infectious and other emerging diseases is advantageous. Excellent academic performance and a proven record in acquiring competitive third-party funding relative to the applicant's career stage are essential qualifications. We expect a significant interest in student teaching and mentoring of junior scientists at different stages of their academic careers. Key personality traits include excellent social and communication skills and an open, engaging and collegial personality. The candidate's distinctive expertise, leadership, and outstanding communication skills place him/her in an ideal position to gain acceptance and trust. He/she is able to create an attractive work environment, inspire creative thinking that can be put into action, and encourage his/her employees.

The university offers you

  • A unique opportunity for interdisciplinary research in a highly innovative and translational research environment enabling access to patients and academic bioinformatics facilities
  • A challenging and varied job in a university and clinical environment
  • An innovative, interdisciplinary and open research environment
  • A responsible leadership role
  • A collaborative environment conducive to interdisciplinary research
  • Attractive employment conditions
  • Attractive startup package and endowment for research

The University of Basel stands for excellence through diversity and is committed to equal opportunities and family friendliness. In an effort to increase the proportion of women in professorships, the university is particularly interested in receiving applications from women.

Application / Contact

For further information, please contact the chair of the Academic Recruitment Committee, Prof. Ulrich Heininger (Email: ulrich.heininger@ukbb.ch) or the Scientific Coordinator of Academic Recruitment, Dr. Simone Neu Phone: (Email: berufungen-medizin@unibas.ch; Phone: +41 61 207 61 64).

Applications must be submitted by November 20, 2024.

We kindly ask you to apply exclusively via the online application platform of the University of Basel and as described in the application guidelines.

 

Dr. Na Cai appointed as BRCCH Professor of Computational Medical Genomics

Dr. Na Cai appointed as BRCCH Professor of Computational Medical Genomics

In February 2025, Dr. Na Cai will join the Basel Research Centre for Child Health (BRCCH) as an Assistant Professor of Computational Medical Genomics. She is currently leading a research group at Helmholtz Pioneer Campus at the Technical University of Munich, where she investigates the genetic bases of psychiatric disorders, particularly Major Depressive Disorder (MDD). This debilitating mental disorder manifests in a wide range of clinical symptoms, including depressed mood, anhedonia or sleep disturbance. In spite of its high prevalence worldwide, the strong polygenic nature of MDD and its heterogenous symptomatology hinder the identification of the biological factors causing this disease

 

Leveraging clinical and genomic datasets from biobanks and electronic health records, Dr. Na Cai and her group have developed a new computational and statistical approach to associate genetic variants with symptoms-based MDD subtypes (e.g. childhood depression vs late onset of MDD). In the future, she aims at developing new computational models to predict disease trajectories of MDD as well as examining the impact of MDD genetic factors in the context of other psychiatric disorders, such as attention-deficit/hyperactivity disorder, which often co-occurs with childhood MDD. Moreover, she will employ multi-omic approaches combined with machine learning methods to assess the impact of environmental risk factors such as childhood abuse or chronical social stress in individuals genetically predisposed to experience MDD.