Insigneo

Prior-informed machine learning for clinically interpretable medical diagnosis

Traditional machine learning (ML) in medical diagnostics often suffers from limited clinical interpretability and poor generalization, owing to its black-box, data-driven nature. Here, we present Prior-Informed Machine Learning (PIML), a framework that integrates clinically groun...

Microtubule pushing and cortical pulling cooperate to orient and position the mitotic spindle

Abstract While regulation of spindle positioning and orientation is known to be mediated by cortical pulling forces generated by dynein on astral microtubules, the contribution of microtubule-based pushing forces remains less clear. We developed a two-dimensional computational mo...

Notch signalling governs human enteric nervous system progenitor dynamics

The enteric nervous system (ENS) is the main branch of the peripheral nervous system that innervates the gastrointestinal tract controlling vital functions. It arises during embryogenesis via migration, proliferation and differentiation of neural crest-derived ENS progenitors. Pe...

Printing‐Assisted Integration of Thermal, Fluidic and Electrical Components in Implants for Focal Brain Cooling

ABSTRACT The limitations of electrical neuromodulation are driving the development of neuroprosthetic systems enhanced with complementary modalities. A key technological challenge however remains the integration of the necessary hardware components (optical, thermal, fluidic, ele...

Aggregation framework for continuous digital health measures and application to walking activity data

Abstract No standardized procedures for aggregating continuous digital health measures exist. Using a modified Delphi approach, we developed a framework to standardize the selection of aggregations that provide clinically meaningful, stable values. This was applied to aggregate s...