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Automated Critical Congenital Heart Disease Screening Combining Non-Invasive Measurements of Oxygenation and Perfusion

Researchers at the University of California, Davis have developed a computer-implemented method for accurately classifying congenital heart defects in newborns using pulse oximetry and machine learning.

Onespec: A Novel Expandable Vaginal Examination Device

The next generation pelvic examination device which decreases patient discomfort and enhances visibility to facilitate sample acquisition for diagnostic testing.

Epipangi-Dx: A Cell-Free Dna Methylation Fingerprint For The Early Detection Ofgastrointestinal Cancers

A novel method for detecting, diagnosing, monitoring, and treating gastrointestinal cancers by analyzing DNA methylation levels in patient samples.

Selection Of DNA-Encoded Libraries For Membrane-Permeable Scaffolds

Combinatorial encoded library technologies can provide a set of tools for discovering protein-targeting ligands (molecules) and for drug discovery. These techniques can accelerate ligand discovery by leveraging chemical diversity achievable through genetically encoded combinatorial libraries, for example, by combinatorial permutation of chemical building blocks. Although display technologies such as mRNA and phage display use biological translation machinery to produce peptide-based libraries, hits from these libraries often lack key drug-like properties, for example, cell permeability. This limitation can arise from the peptide backbone's inherent polarity and the tendency to select compounds with polar/charged side chains. Backbone N-methylation can increase scaffold lipophilicity in mRNA display; however, codon table constraints can necessitate longer sequences to fully utilize the available space.DNA-encoded libraries (DELs) offer an alternative approach towards discovering hits against drug targets. However, like other encoded library techniques, DELs face significant obstacles in affinity selections, which tend to enrich library members bearing polar and/or charged moieties, which can have low (poor) passive cell membrane permeability, especially in larger molecular weight libraries, resulting in hits with poor drug-like properties. This selection bias is especially problematic for larger constructs beyond the rule of 5, where fine-tuning lipophilicity can be critical. Furthermore, DNA-encoded libraries can be of low quality. Although algorithmic predictions of lipophilicity exist, these two-dimensional (2D) atomistic calculations cannot capture conformational effects exhibited by larger molecules like peptide macrocycles. Despite over a decade of DEL technology development, no method exists to measure physical properties of encoded molecules across an entire DNA-encoded library. That is, successful translation of hits from encoded library selections can be impeded by low quality libraries and enrichment of highly polar members which tend to have poor passive cell permeability, especially for larger molecular weight libraries.DELs are produced through split-pool synthesis with DNA barcoding to encode the building block of each chemical step. Although this approach can draw on a large number of building blocks and allow for the formation of non-peptidic libraries with a large number of members, synthetic challenges persist. The formation of DELs can be synthetically inefficient. Truncations multiply ( are compounded) throughout synthesis, reducing the representation of properly synthesized constructs. Although strategies to improve library purity, to enable reaction monitoring for macrocycle formation, and to identify problematic chemistry affecting DNA tag amplification may be applied, a direct method for assessing DEL quality on a library-wide basis has yet to be developed.   

Non-Invasive Tool That Assesses Bruise Injuries Across All Skin Types.

An innovative non-invasive device that accurately determines the age of bruises for all skin types and tones, designed to assist in forensic investigations and medical diagnostics.

Diagnostic to Predict Autism in Newborn Blood Spots

Researchers at the University of California, Davis have developed a diagnostic screen using DNA methylation and genetic variant analysis from newborn blood spots that enables early prediction of autism spectrum disorder (ASD) risk.

System And Method Of EAT/US-Guided Pulsed Field Ablation For Intracardiac Applications

A real-time, ultrasound-based imaging modality that improves intracardiac irreversible electroporation accuracy by visualizing electric field distribution during cardiac ablation.

Rubisco Selection System

The enzyme Rubisco, largely found in plants, algae, and photosynthetic bacteria, is responsible for the majority of biological carbon fixation on Earth. However, it has slow kinetics and has resisted decades of protein engineering efforts to improve its catalytic rate. UC Berkeley researchers have designed an in-vivo system that allows large libraries of Rubisco sequences to be functionally screened for improved enzymatic properties. They generated an E. coli strain whose growth rate is linked to Rubisco performance, allowing for pooled assays and the use of deep sequencing as a readout. This system allows for much higher throughput screening of Rubisco than any previous method and significantly increases opportunities to identify catalytically superior Rubisco sequences. 

Deep Learning System To Improve Diagnostic Accuracy For Real-Time Quantitative Polymerase Chain Reaction Data

Manual interpretation of real-time quantitative PCR (RT-qPCR) data is prone to human error, noise, and variability, leading to potential misdiagnosis or test redundancies. UC Berkeley researchers have developed a novel deep learning framework that significantly improves diagnostic accuracy by fusing Long Short-Term Memory (LSTM) networks with Vision Transformers (ViT). This hybrid architecture captures both sequential fluorescence patterns and structural amplification dynamics from raw time-series data and image-based renderings. By leveraging a uniquely curated dataset of over 24,000 verified samples, the system accurately discriminates between true-positive and true-negative samples, predicts viral dilutions, and forecasts patient re-test outcomes, providing an objective tool for early triage and increased laboratory throughput.

3D Cardiac Strain Analysis

An advanced geometric method for comprehensive 3D cardiac strain analysis, enhancing diagnosis and monitoring of myocardial diseases.

Centrifugal Microfluidics for Rapid Bacterial Growth and Antibiotic Susceptibility Testing

A novel device leveraging centrifugal microfluidics to accelerate bacterial growth and rapidly determine antibiotic susceptibility.

Machine Learning Framework for Inferring Latent Mental States from Digital Activity (MILA)

Scalable assessments of mental illness, the leading driver of disability worldwide, remain a critical roadblock toward accessible and equitable care. Researchers at UC Berkeley have introduced MAILA (MAchine-learning framework for Inferring Latent mental states from digital Activity), an innovation demonstrating that everyday human-computer interactions encode multiple dimensions of self-reported mental health and their changes over time. MAILA was trained to predict 1.3 million mental-health self-reports from 20,000 cursor and touchscreen recordings, identifying cognitive signatures of psychological function that go beyond what is conveyed by language. Key features and benefits include the ability to track dynamic mental states along three orthogonal dimensions, achieve near-ceiling accuracy in group-level predictions, and translate insights from general to clinical populations to identify individuals with self-reported mental illness.

Selective Manipulation of Magnetically Barcoded Materials

This technology enables precise, selective manipulation of magnetically barcoded materials, distinguishing them from background magnetic materials

In-Incubator, Servo-Controlled Microvalve System for Automated Culture Management

Advances in biological research have been greatly influenced by the development of organoids, a specialized form of 3D cell culture. Created from pluripotent stem cells, organoids are effective in vitro models in replicating the structure and progression of organ development, providing an exceptional tool for studying the complexities of biology. Among these, cerebral cortex organoids (hereafter "organoid") have become particularly instrumental in providing valuable insights into brain formation, function, and pathology. Despite their potential, organoid experiments present several challenges. Organoids require a rigorous, months-long developmental process, demanding substantial resources and meticulous care to yield valuable data on aspects of biology such as neural unit electrophysiology, cytoarchitecture, and transcriptional regulation. Traditionally the data has been difficult to collect on a more frequent and consistent basis, which limits the breadth and depth of modern organoid biology. Generating and measuring organoids depend on media manipulations, imaging, and electrophysiological measurements. Historically are labor- and skill-intensive processes which can increase risks associated with experimental validity, reliability, efficiency, and scalability.

FRET-Cal Screening Platform for Membrane Signaling Protein Modulators

This invention developed by UC Berkeley researchers provides a novel FRET-Cal Screening Platform to identify positive and negative modulators of membrane signaling proteins. The platform addresses the need for efficient and reliable methods to screen for compounds that can control the activity of these receptors. The technology utilizes a receptor protein with a Förster resonance energy transfer (FRET) pair, composed of a donor and acceptor fluorophore, to screen for candidate compounds. The FRET pair allows for the direct measurement of changes in protein conformation upon binding, providing a highly sensitive and specific method for identifying potential modulators. This platform offers a significant advantage over traditional screening methods by providing a high-throughput, real-time assay for drug discovery and therapeutic development.

Engineered TNA Polymerase for Therapeutic Applications

An engineered polymerase enabling the synthesis of threose nucleic acid (TNA) for advanced therapeutic applications.

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