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B cells found to be crucial for long-term vaccine protection, new study shows

The new findings could help improve vaccine effectiveness in some immunocompromised patients. Researchers at the University of Colorado Anschutz Medical Campus have uncovered a critical, previously underappreciated role for B cells in vaccine protection. Best known for producing antibodies, B cells also guide other immune cells, specifically CD8 T cells, teaching them how to mount lasting defenses after vaccination.

The study was recently published in The Journal of Clinical Investigation.

“Think of CD8 T cells as rookie firefighters,” said lead author Jared Klarquist, PhD, assistant research professor of immunology and microbiology at the University of Colorado School of Medicine. “B cells teach the class on pacing. Without them, the rookies rush in, fight hard, and quit. They don’t save anything for the next fire.”

Sulfur-capped carbon nanobelts promise novel applications

RIKEN chemists have hit upon a fast and easy way to combine so-called nanobelts of carbon with sulfur-containing functional groups. The work is published in the journal Nature Communications.

This new material has intriguing properties that make it promising for use in novel optoelectronic devices.

Ever since their discovery in 1991, carbon nanotubes—tiny hollow cylinders made entirely from carbon atoms—have been attracting a lot of interest, being used in applications ranging from electronics to medicine.

Why Don’t Machine Learning Models Extrapolate?

Introduction One thing newcomers to machine learning (ML) and many experienced practitioners often don’t realize is that ML doesn’t extrapolate. After training an ML model on compounds with µM potency, people frequently ask why none of the molecules they designed were predicted to have nM potency. If you’re new to drug discovery, 1nM = 0.001µM. A lower potency value is usually better. It’s important to remember that a model can only predict values within the range of the training set. If we’ve trained a model on compounds with IC50s between 5 and 100 µM, the model won’t be able to predict an IC50 of 0.1 µM. I’d like to illustrate this with a simple example. As always, all the code that accompanies this post is available on GitHub.

24 Incredible Scientific Discoveries Made in 2024

2024, for all of its challenges, has seen a remarkable amount of scientific discoveries by Israeli researchers across various disciplines.

From novel approaches to treating cancer to unraveling the intricacies of the human gut biome, these findings not only expand our understanding of the world but also pave the way for groundbreaking advancements in the future.

Let’s delve into 24 of the most fascinating discoveries made by Israeli scientists in 2024.


Take a look at these groundbreaking discoveries by Israeli researchers that are shaping our understanding of the world and its complexities.

AI tool uses face photos to estimate biological age and predict cancer outcomes

Eyes may be the window to the soul, but a person’s biological age could be reflected in their facial characteristics. Investigators from Mass General Brigham developed a deep learning algorithm called “FaceAge” that uses a photo of a person’s face to predict biological age and survival outcomes for patients with cancer.

They found that patients with , on average, had a higher FaceAge than those without and appeared about five years older than their .

Older FaceAge predictions were associated with worse overall across multiple cancer types. They also found that FaceAge outperformed clinicians in predicting short-term life expectancies of patients receiving palliative radiotherapy.

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