This technology describes a distinct class of ibogaine analogs created by chemical synthesis that maintains the pharmacological benefits of ibogaine with reduced cardiac adverse effects.

This technology is an automated, AI-based platform for identifying and segmenting ductal carcinoma in situ (DCIS) lesions on breast MRI.

This technology is a fully integrated holographic microscope system capable of simultaneous, high-resolution imaging and precise stimulation of 3D neuronal circuits using optogenetics.

This technology is a platform for extracting electron diffraction data from common transmission electron microscopes, in order to obtain atomic pair distribution functions and subsequently determine nanoscale material structure.

This technology describes a methodology for applying electromechanical wave imaging (EWI) to clinical datasets obtained from FDA-approved, portable echocardiography scanners, enabling the localization of arrhythmia sources in a non-invasive manner.

This technology is an in vivo interface for modifying Acidithiobacillus ferrooxidans for the recovery of rare earth elements in acidic environments.

This technology is a soft-skinned anthropomorphic facial robot, Emo, designed to display a wide range of nuanced facial expressions, enhancing the quality of human-robot interactions.

This technology is a method for integrating various metallic, metal-oxide, and semiconducting materials into self-assembled DNA frameworks for advanced nanolithography.

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This technology is an optics-based assembly that enables ultra-low-noise microwave signal generation using continuous-wave lasers integrated with compact photonics chips.

This technology is a high-throughput sequencing-based platform that can detect and characterize a wide range of viruses with improved sensitivity, reduced cost, and potential for novel virus discovery.

This technology is a femtosecond laser-based system for modulating cytokine activity in corneal tissues to control inflammation and prevent keratocyte apoptosis.

This technology is a chimeric CRISPR-associated transposon (CAST) system that allows for more efficient and specific RNA-guided DNA integration.

This technology utilizes machine learning to accurately predict and prioritize cancer neoantigens by integrating diverse genomic and transcriptomic features beyond traditional peptide-major histocompatibility complex (MHC) binding affinity.

This technology is a class of small molecule activators of the Bestrophin-1 chloride channel designed to restore retinal function and mitigate vision loss in Best vitelliform macular dystrophy (BVMD).