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Category: biotech/medical – Page 1,214

Coral Crisis Solutions: Anemones Offer Key Insights for Restoration Efforts

With coral reefs under attack from ongoing climate change effects, what steps can be taken to reverse the damage? This is what a recent study published in iScience hopes to address as a team of international researchers investigated how to monitor coral reef health that is impacted through climate change, specifically with altering biomineralization, which is the driving force behind coral reef formation. This study holds the potential to help scientists better understand how climate change impacts coral reef health and potential steps to improve conservation of corals throughout the world.

“The whole ecosystem is dying. You can listen to the death all you want, but what are you going to do to fix it?” said Dr. Mark Martindale, who is the director of the University of Florida’s Whitney Laboratory for Marine Bioscience and a co-author on the study. “In order to do that, you need to understand what the problems are. And you need an experimental system to do that. Now we have that system.”

Researchers explore quantum computing’s ability to speed solutions for financial sector

The work, facilitated by the Chicago Quantum Exchange (CQE) and led by a team that includes UD, Argonne, JPMorgan Chase and University of Chicago scientists, lays groundwork for future applications—and highlights the need for cross-sector collaboration.

The third category, stochastic modeling, is used across the sciences to predict the spread of disease, the evolution of a chemical reaction, or weather patterns. The mathematical technique models complex processes by making random changes to a variable and observing how the process responds to the changes.

The method is used in finance, for instance, to describe the evolution of stock prices and interest rates. With the power of quantum computing behind it, stochastic modeling can provide faster and more accurate predictions about the market.

According to Safro, one of the things that makes the field and ongoing research in this area exciting is the unknown.

New AI-based, non-invasive diagnostic tool enables accurate brain tumor diagnosis, surpassing current methods

Jointly developed by investigators of the Vall d’Hebron Institute of Oncology’s (VHIO) Radiomics Group and the Bellvitge University Hospital’s Neuroradiology Unit, the Diagnosis in Susceptibility Contrast Enhancing Regions for Neuroncology (DISCERN) is an open-access deep learning tool based on the training of patterns using artificial intelligence models from information of standard magnetic resonance imaging (MRI).

Generative AI for Patient-Friendly Language in Discharge Summaries

How LLM #AI can make a patient-friendly— more understandable, more concise— hospital discharge summary for patients.

Generative artificial intelligence to transform inpatient discharge summaries to patient-friendly language and format.

This cross-sectional study, as part of a larger project to improve care delivery in our health system, was deemed exempt from institutional review board review based on the NYU Langone Health self-certification protocol. The study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.

This was a cross-sectional review of 50 inpatient discharge summaries. The number 50 was chosen a priori based on feasibility. We used Epic Systems reporting workbench to export a dataset containing metadata for all notes of the Discharge Summary Note type across NYU Langone Health Systems from June 1 to 30, 2023, totaling 5,025 summaries. We used the Excel 2016 rand() function (Microsoft Corporation) to generate a random number corresponding to each note and selected the 200 notes with the lowest random number. A single reviewer confirmed the identified notes were actual discharge summaries written by the General Internal Medicine service and that the patients were not discharged as dead. For final inclusion in the study, we selected 50 of the remaining notes with the lowest random numbers. Our sample included discharges from all of NYU Langone’s hospital campuses and did not include more than 1 discharge from any single patient.

How MIT Is Revolutionizing Electronics With 3D-Printed Solenoids

The printed solenoids could enable electronics that cost less and are easier to manufacture — on Earth or in space.

Imagine being able to build an entire dialysis machine using nothing more than a 3D printer.

This could not only reduce costs and eliminate manufacturing waste, but since this machine could be produced outside a factory, people with limited resources or those who live in remote areas may be able to access this medical device more easily.

Strontium Unlocks the Quantum Secrets of Superconductivity

Superconductivity makes physics seem like magic. At cold temperatures, superconducting materials allow electricity to flow indefinitely while expelling outside magnetic fields, causing them to levitate above magnets. MRIs, maglev trains, and high-energy particle accelerators use superconductivity, which also plays a crucial role in quantum computing, quantum sensors, and quantum measurement science. Someday, superconducting electric grids might deliver power with unprecedented efficiency.

Challenges with Superconductors

Yet scientists lack full control over conventional superconductors. These solid materials often comprise multiple kinds of atoms in complicated structures that are difficult to manipulate in the lab. It’s even harder to study what happens when there’s a sudden change, such as a spike in temperature or pressure, that throws the superconductor out of equilibrium.

Roger Guillemin (1924–2024), neuroscientist who showed how the brain controls hormones

Roger Guillemin identified the molecules in the brain that control the production of hormones in endocrine glands such as the pituitary and thyroid. His work led to a torrent of advances in neuroendocrinology, with far-reaching effects on studies of metabolism, reproduction and growth. For his discoveries on peptide-hormone production in the brain, Guillemin shared the 1977 Nobel Prize in Physiology or Medicine with Andrew Schally and Rosalyn Yalow. He has died at the age of 100.

In the autumn of 1969, after analysing millions of sheep brains for more than a decade, Guillemin and his colleagues determined the structure of thyrotropin-releasing factor (TRF). This small peptide is produced in the hypothalamus, a small region at the base of the brain, and is transported to the anterior lobe of the nearby pituitary gland, where it triggers the release of the hormone thyrotropin. Thyrotropin, in turn, stimulates the thyroid gland to produce the hormone thyroxine, which regulates metabolic activity in nearly every tissue of the body. More than two dozen drugs use such hypothalamic hormones to treat endocrine disorders and cancers, and the worldwide market for these drugs is worth several billion dollars.

Guillemin was born in Dijon, France, and came of age at the end of the Second World War. He graduated from medical school in the University of Lyon, France, in 1949 and worked as a country doctor in the small commune of Saint-Seine-l’Abbaye in Burgundy. He found the work satisfying but intellectually limiting, noting that “in those days I could take care of all my patients with three prescriptions, including aspirin”. Fascinated by how the brain and pituitary gland control the body’s response to stress, he attended lectures in Paris by the Hungarian–Canadian endocrinologist Hans Selye, after which Selye accepted Guillemin’s request to spend a year doing research in his laboratory at the University of Montreal, Canada.

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