-
Stem Cell–Based Embryo Models Reveal Pathway to Understanding Fertility
Caltech researchers have developed a powerful new method for creating embryo-like structures from stem cells that could transform how we study fertility. Using stem cells rather than a traditional fertilized egg, the team has built mouse embryo models called iG4-blastoids that closely mimic natural blastocysts, the stage of development when an embryo implants into the […]
-
Parkinson’s Disease Drug Candidates Induce Unexpected Damaging Effects
Parkinson’s disease is the second most common neurodegenerative disease, affecting over 10 million people worldwide. Some forms of Parkinson’s disease are characterized by an inability of cells to clean up dysfunctional mitochondria, the cells’ “powerhouses,” particularly in neural cells of the brain. Like batteries, the mitochondria provide energy for a cell to function, but also […]
-
How a Jawless Vertebrate Parasite Reveals Evolutionary Origins of the Thyroid
The thyroid, a vital endocrine organ in vertebrates, plays a key role in regulating metabolism and supporting growth. The first gland of both the nervous system and endocrine system to mature during an embryo’s development, it initially evolved more than 500 million years ago out of a “primitive” precursor organ in chordates known as the […]
-
Genetic Code Enables Zebrafish to Mend Damaged Organs
Zebrafish have the remarkable and rare ability to regrow and repair their hearts after damage. New research from Caltech and UC Berkeley has identified the circuit of genes controlling this ability and offers clues about how a human heart might someday be repaired after damage, such as a heart attack or in cases of congenital […]
-
Speed-Snap Science: Solving for Molecular Details in a Flash
How do we know exactly what is happening at a molecular level during extremely fast processes, such as burning during combustion? In less than the blink of an eye, one chemical compound and then another are present in a flame only to disperse and give way to more. Understanding which molecules are present gives scientists […]
-
Cellular Coordinate System Reveals Secrets of Active Matter
Cells are an example of active matter. As inanimate matter must burn fuel to move, like airplanes and cars, active matter is similarly animated by its consumption of energy. The basic molecule of cellular energy is adenosine triphosphate (ATP), which catalyzes chemical reactions that enable cellular machinery to work. Caltech researchers have now developed a […]
-
A New Tool to Detect Viruses in Sequence Data
A new software algorithm developed at Caltech enables researchers to easily search for viruses in RNA sequence data, enabling scientists to detect viruses in samples and study how they impact biological functions. The number of individual viruses on Earth is nearly unfathomable: There are an estimated 10 million individual viruses for each star in the […]
-
On the Same Wavelength: Neural “Fingerprints” Indicate Deep Focus Flow States in Teams
Have you ever been so laser focused on a task—playing a video game, reading an engrossing book, and so on—that when you look up, hours have suddenly gone by? This is commonly referred to as flow state: a state of absorbed concentration and a distorted sense of time. Studies have shown that working in the […]
-
Ontology-guided machine learning outperforms zero-shot foundation models for cardiac ultrasound text reports
USCF Chen Scholar, Rima Arnout, MD, was part of a team whose research was recently published in the journal Nature focusing on recent innovations in cardiac ultrasound. Big data can revolutionize research and quality improvement for cardiac ultrasound. Text reports are a critical part of such analyses. Cardiac ultrasound reports include structured and free text […]
-
First Programming Language for Active Material
In 2019, Caltech researchers demonstrated a new method to use light to control active matter. Back then, the team focused on active matter in the form of millimeter-sized protein filaments. Now, powered by insights from computational theory, the team, has developed the first “programming language” for active matter, enabling researchers to conduct precise operations in […]