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Precision medicine

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…and machine learning support precision medicine, healthcare-resource allocation and multimodal patient-data analysis. Keynotes examine evolutionary cancer treatment and model-driven digital twins, longitudinal health records, topology and geometry for cyclic gene expression, statistical approaches to individual mental-health variation and patient-specific blood-flow simulation. Panels connect these methods with cardiovascular medicine, healt

Nov 11–13, 2026

Workshop · Applied Mathematics

…inflammation, oncology, precision medicine and sex-aware experimental design. Sessions also address drug development, regulatory decisions, artificial intelligence and the sustainability of pharmacological research. Plenary lectures connect unmet needs in oncology to improved care and

Nov 25–28, 2026

Conference · Pharmacology

Genetic architecture of polygenic traits and diseases

Lluis Quintana-Murci · Professor at the Collège de France

…scores, then considers their use in precision medicine. Outstanding limitations include unexplained heritability and the uneven representation of human populations in genomic research.

Fri, Mar 28, 2025 · 08:30 UTC

Seminar · Genetics

…Addressing this challenge requires a precision medicine approach incorporating biomarkers responsive to novel treatments. A promising approach involves bioelectronic devices utilising neuroelectric signatures of impaired prefrontal function, a key feature in AUD resulting in diminished inhibitory control over compulsive behaviour and increased vulnerability to relapse. Thus, we reason that event-related potentials and neural oscillations are valuable biomarkers fo

ePoster · Neuroscience

Mental disorders contribute significantly to the global burden, and pharmacological therapy is the primary approach for managing major depressive disorder (MDD). However, the current response to treatment is not satisfactory, highlighting the need for effective strategies to predict the effectiveness of antidepressants. This study aimed to analyze a polygenic risk score and utilize a pharmacogenomic enrichment score (PES) to identify potential drugs and propose a viable treatment strategy for MDD patients. MDD data from the Taiwan Biobank were filtered using various p-value thresholds. Gene-se

ePoster · Neuroscience

How much data is enough to reliably measure individual differences in cognition?

Jan Kadlec, Catherine Walsh, Uri Sadé et al. · FENS Forum 2024

The surge in interest in individual differences, driven partly by the rise of precision medicine, has coincided with the latest replication crisis, centred around brain-wide association studies of brain-behaviour correlations. In this context, understanding the reliability of the measures we use in cognitive neuroscience has never been more important. Tasks designed to study individual differences must reliably differentiate participants at the individual rather than the group level. Yet assessing the reliability of a given dataset, and even more so optimizing the design of a new behavioural t

ePoster · Neuroscience

SLC6A4 and TPH2 methylation as potential biomarkers to inform antidepressant treatment choices

Silvia Elisabetta Portis Bruzzone, Brice Ozenne, Patrick MacDonald Fisher et al. · FENS Forum 2024

…SSRIs are frequently ineffective and precision medicine approaches are strongly needed to optimize treatment efficacy. DNA methylation levels of serotonin transporter (SLC6A4m) and tryptophan hydroxylase 2 (TPH2m) genes have been suggested as predictive biomarkers of antidepressant efficacy. In this study, we aimed to evaluate SLC6A4m/TPH2m biomarker potential and compare with previous findings in an independent cohort of N=77 patients with major depressive disorder who were treat

ePoster · Neuroscience

The human brain comprises about 86 billion neurons organized in well-defined spatial locations that define clusters of neurons (modules). Each cognitive and motor function is possible thanks to the correct interaction among them. The disruption, loss, or alteration of these connections can produce pathological conditions. To understand how the information is transmitted and computed, we need to investigate the communication among the different modules. Another essential feature to understand is how the electrophysiological signals are transmitted is the 3D spatial organization. Many studies ma

ePoster · Neuroscience

Neuroimaging has greatly extended our capacity to study the workings of the human brain. Despite the wealth of knowledge this tool has generated however, there are still critical gaps in our understanding. While tremendous progress has been made in mapping areas of the brain that are specialized for particular stimuli, or cognitive processes, we still know very little about how large-scale interactions between different cortical networks facilitate the integration of information and the execution of complex tasks. Yet even the simplest behavioral tasks are complex, requiring integration over m

Tue, May 7, 2024 · 16:00 UTC

Seminar · Cognition

Growing a world-class precision medicine industry

Prof Gary Egan and Dr Maggie Aulsebrook · Monash Biomedical Imaging

Monash Biomedical Imaging is part of the new $71.2 million Australian Precision Medicine Enterprise (APME) facility, which will deliver large-scale development and manufacturing of precision medicines and theranostic radiopharmaceuticals for industry and research. A key feature of the APME project is a high-energy cyclotron with multiple production clean rooms, which will be located on the Monash Biomedical Imaging (MBI) site in Clayton. This strategic co-location will facilitate radiochemistry, PET and SPECT research and clinical use of theranostic (therapeutic and diagnostic) radioisotopes p

Wed, May 25, 2022 · 20:30 UTC

Seminar · Nuclear Medicine

Mechanistic insights from a mouse model of HCN1 developmental epileptic encephalopathy

Christopher Reid · The Florey Institute of Neuroscience and Mental Health

Pathogenic variants in HCN1 are associated with severe developmental and epileptic encephalopathies (DEE). We have engineered the Hcn1 M294L heterozygous knock-in (Hcn1M294L) mouse which is a homolog of the de novo HCN1 M305L recurrent pathogenic variant. The mouse recapitulates the phenotypic features of patients including having spontaneous seizures and a learning deficit. In this talk I will present experimental work that probes the molecular and cellular mechanisms underlying hyper-excitability in the mouse model. This will include testing the efficacy of currently available antiepilepti

Wed, Aug 18, 2021 · 16:00 UTC

Seminar · Molecular Neuroscience