MCFAs provide a synergistic bactericidal effect in combination with antibiotics and bacteriophages to effectively treat antibiotic-resistant bacterial infections.

Researchers at the University of California, Davis have developed an integrated platform that combines AI-driven computational pathology with 3D-bioprinted, patient-derived tumor models to predict therapeutic response and enable functionally guided precision oncology.

Determining the exact direction of a sound source typically requires large microphone arrays and significant computational power. Researchers at UC Berkeley have developed an intelligent acousto-electrical metamaterial system that simplifies this process. The technology utilizes a specialized acoustic transducer divided into multiple interconnected sections. Each section contains a unique arrangement of piezoelectric metamaterials designed to generate specific electric signals when stimulated by sound waves. Crucially, these sections possess distinct acoustic beam patterns—geometric sensitivities to sound—that allow the system to differentiate between incoming angles. Because the sections are in physical contact, they work in tandem to provide highly accurate "direction of arrival" (DOA) data within a compact, hardware-efficient form factor.

UC Berkeley researchers have engineered a class of metal-organic frameworks (MOFs) that undergo a reversible, structural phase change from a collapsed state to an expanded state. These MOFs feature a unique "breathing" mechanism that results in stepped adsorption isotherms. Unlike traditional adsorbents that saturate gradually, these frameworks remain closed until a specific threshold pressure is reached, at which point they expand to provide high-capacity storage. A key innovation of this technology is its tunability; by substituting nitrogen for carbon in the aromatic rings of the ligands (such as pyrazolate-based ligands), the researchers can precisely shift the step pressure position. This allows the material to be customized for the capture and release of specific gases based on targeted operating pressures and temperatures.

Developing accurate models of human organ interactions is essential for predicting drug efficacy and toxicity without relying solely on animal testing. To meet this need, UC Berkeley researchers have designed a compact microfluidic integrated chip that mimics the physiological relationship between the gut and the liver. The device features distinct chambers for gut and liver physiologies, which are fluidly connected by a shared vascular system. A key innovation of this platform is the use of a porous micropillar membrane structure to divide the vascular system into gut and liver vascular chambers. This integrated architecture allows for the precise study of nutrient absorption, first-pass metabolism, and the complex biochemical signaling that occurs between these two critical organs.

Navigating the complex regulatory landscape of the 1972 Clean Water Act often requires labor-intensive site visits and inconsistent jurisdictional determinations. To streamline this process, researchers at UC Berkeley have developed a machine learning framework that assesses which water resources fall under federal protection. By training a model on 150,000 historical jurisdictional determinations made by the Army Corps of Engineers and integrating high-resolution aerial imagery with geophysical data, the system can predict regulatory status with high precision. This technology quantifies the impact of shifting legal definitions, such as illustrating how a 2020 White House rule deregulates approximately 608,000 stream miles and 32 million wetland acres compared to previous Supreme Court standards.

The challenge of selectively capturing carbon monoxide from complex industrial gas streams has been addressed through the development of a new class of highly porous materials. By engineering specific metal carbanions into the MOFs, UC Berkeley researchers have created binding sites that mimic the sophisticated coordination chemistry found in biological systems. This framework, which utilizes a divalent metal and a carbon-based substituent such as alkanes or alkenes, allows for the precise and selective adsorption of CO2 even in the presence of competing molecules such as nitrogen or carbon dioxide. This molecular-level customization enables the material to function as a "chemical sponge" that can be tuned for various industrial separation and purification environments.

Traditional offshore energy systems are stationary and rely on expensive underwater cabling to deliver power. UC Berkeley researchers have developed a more flexible solution called PowerCab, a mobile energy harvesting and delivery platform. The system features a specialized hull equipped with a sail for wind-driven propulsion and an autonomous steering system. PowerCab integrates multiple energy generation devices—which can harness power from the wind, waves, or sun—and stores that energy in an onboard storage device. A sophisticated control system uses environmental sensors to navigate the vessel toward optimal harvesting conditions or to transport stored power to coastal regions and offshore installations that need it most.