Researchers from UC San Diego and Oregon Health Science Univeristy developed a microelectrode grid for continuous interoperative neuromonitoring. The microelectrode grid includes a flexible substrate with low impedance electrochemical interface materials on conducting metal pads. The metal pads are connectable to stimulation/acquisition electronics through metal lead interconnects forming stimulation and recording channels and eventually to bonding pads. A flap within the substrate is movable away from the remainder of the substrate while at least some of the metal pads on the remainder of the substrate can remain in contact with an organ when the flap is moved away from the remainder of the substrate.

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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a serious threat to human health without effective treatment. There is an urgent need for both real-time tracking and precise treatment of the SARS-CoV-2 infected cells to mitigate and ultimately prevent viral transmission. However, selective and responsive triggering and tracking of the therapeutic processin infected cells remains challenging.

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Worldwide, over 2.5 million people live with spinal cord injury, with over 100,000 new cases occurring annually. Spinal cord injury often causes motor dysfunction below the level of the injury. For example, thoracic and lumbar spinal cord injury can cause paraplegia and cervical spinal cord injury can cause quadriplegia. Such injury is permanent and often severe and there is no effective treatment. Various neurologic diseases also involve damaged or dysfunctional spinal cord neurons. Neural stem cell grafts have potential for treating such conditions. However, it has not been possible to obtain sufficient numbers of appropriately patterned neural stem cells, having a spinal cord positional identity, for implanted cells to survive and functionally engraft.

The strategy employed by the invention is inspired by splicing factors, a category of RNA-binding protein that influence alternative splicing outcomes. These splicing factors are trans-acting, and act to enhance or silence exon inclusion by binding near or on the target exon and promoting or repressing the activity of splicing machinery. Scientifically, a highly programmable, minimally disruptive system to increase exon inclusion could allow for higher-throughput identification of functional roles of specific exons than have been previously shown.

Researchers from UC San Diego's Neuroelectronic Lab (https://neuroelectronics.ucsd.edu/) demonstrate that they can predict neural activity at deeper layers of the brain by only recording potentials from brain surface. This was achieved by performing multimodal experiments with an ultra-high density transparent graphene electrode technology and developing neural network methods to learn nonlinear dynamic between different modalities. They used cross modality inference to predict the activity at deep layers from surface. Prediction of neural activity at depth have the potential to open up new possibilities for developing minimally invasive neural prosthetics or targeted treatments for various neurological disorders.

Researchers from UC San Diego's Neuroelectronics Lab invented an implantable brain electrode technology which allows recording interactions between different cortex regions or interactions of cortex with other subcortical structures. The technology is called Neuro‐FITM. Flexibility and transparency of Neuro‐ FITM allow integration of electrophysiological recordings with any optical imaging (such as high resolution multiphoton imaging) or stimulation technology (such as optogenetics).