T. J. Nowakowski

Stress relaxing granular bioprinting materials enable complex and uniform organoid self-organization

This paper introduces a tunable granular biomaterial, MAGIC matrix, that enables precise control of initial conditions for tissue growth, leading to improved organoid reproducibility and complexity.

Inhibition of muscarinic receptor signaling protects human enteric inhibitory neurons against platin chemotherapy toxicity

This study identifies muscarinic receptor signaling as a key driver of platin-induced enteric neuropathy and shows that its inhibition protects neurons from toxicity.

Three-dimensional genome re-wiring in loci with Human Accelerated Regions

The paper identifies human-specific 3D genome re-wiring in conserved loci, linking accelerated evolution to regulatory rewiring in neural progenitor cells.

Optimal trade-off control in machine learning-based library design, with application to adeno-associated virus (AAV) for gene therapy

This paper develops a machine learning method to design more effective AAV libraries with better packaging capabilities and diversity, achieving higher success rates in gene therapy applications.

Internet of Things Architecture for Cellular Biology

The paper develops an IoT architecture to control biological devices in experiments, enabling real-time monitoring and automation through a unified web interface.

Development of a Low-Cost System for Simultaneous Longitudinal Biological Imaging

The paper develops a low-cost imaging system for simultaneous longitudinal biological imaging and demonstrates its use across multiple organisms and tissue models.

Revealing architectural order with quantitative label-free imaging and deep learning

This paper combines label-free imaging with deep learning to analyze biological structures, showing it can predict 3D fluorescent features in tissues.