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Coronary Computed Tomography Angiography in Prediction of First Coronary Events

Adding coronary CT angiography (CCTA) data to traditional risk scores and coronary artery calcium scoring improved risk prediction for first coronary events over nearly 8 years of follow-up.

While the clinical impact was modest in a low-risk population, CCTA enhanced risk discrimination and reclassification, particularly among those considered low risk by conventional models.


This cohort study assesses whether coronary computed tomography angiography improves risk prediction beyond traditional risk factors and coronary artery calcium score in identifying individuals at risk of first coronary events.

Abstract: Secondary bacterial infections are a common complication in influenza A infection, but targets for prevention are lacking

Secondary bacterial infections are a common complication in influenza A infection, but targets for prevention are lacking.

Here, Susanne Herold & team suggest that targeting neutrophil-driven alveolar macrophage death in severe influenza pneumonia strengthens host defense and prevents the transition to secondary bacterial infection:

The figure shows leukocyte infiltration in mouse lung tissue caused by pneumococcal infection a week after influenza A infection.


1Department of Medicine V, Internal Medicine, Infectious Diseases and Infection Control, Universities of Giessen and Marburg Lung Center (UGMLC), member of the German Center for Lung Research (DZL), member of the German Center for Infection Research (DZIF), Justus Liebig University Giessen, Giessen, Germany.

2Institute of Lung Health (ILH), Justus Liebig University Giessen, Giessen, Germany.

3Excellence Cluster Cardio-Pulmonary Institute (CPI), Hessen, Germany.

Voxelizing the Human Brain

Dr. Martin Picard tells the ‘story behind the paper’ for “A human brain map of mitochondrial respiratory capacity and diversity”. An amazing effort with a valuable dataset as the result!

(https://martinpicard.substack.com/p/voxelizing-the-human-brain)


This is the story of how we produced the first brain map of mitochondria—or the human brain bioenergetic landscape. The paper was published in the journal Nature.

The AIs of 2026 Will be Wild!

What if the AIs of 2026 don’t just assist humans—but outthink, outcreate, and outpace them? This video breaks down why experts are calling the next wave of artificial intelligence “wild,” unpredictable, and unlike anything we’ve seen before.

From autonomous AI agents that can run businesses to models that learn continuously without retraining, 2026 is shaping up to be the year AI crosses invisible psychological and technological lines. We explore the breakthroughs most people aren’t paying attention to—and why they matter more than flashy demos.

You’ll discover how AI reasoning, memory, creativity, and decision-making are evolving fast, and why this shift could quietly redefine work, power, and human relevance. These aren’t sci-fi concepts anymore—they’re already being tested behind closed doors.

This video also reveals the hidden risks, ethical tensions, and control problems emerging as AI systems become less tool-like and more independent. By the end, you’ll understand why 2026 may be remembered as the year AI stopped feeling artificial.

What will AI be capable of in 2026? Why are experts worried about next-generation AI? How will AI change jobs and creativity? Are autonomous AI agents dangerous? Is AI evolving faster than humans can adapt?

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The Fine-Tuning Argument is Terrible — Sean Carroll

Watch the full episode on Substack: https://open.substack.com/pub/alexoconnor/p/sean-carroll-wha…nt=overlay.

Come to my UK tour: https://www.livenation.co.uk/alex-o-connor-tickets-adp1641612.

To donate to my PayPal (thank you): http://www.paypal.me/cosmicskeptic.

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Sean Carroll is a theoretical physicist and professor of natural philosophy at Johns Hopkins University.

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Experimental Therapy Targets Cancer’s Bodyguards, Turning Foe to Friend to Eliminate Tumors

Researchers at Mount Sinai have developed a novel immunotherapy strategy that targets the tumor microenvironment (TME) to overcome immune suppression in metastatic cancers. Addressing the protective role of tumor-associated macrophages (TAMs), which often shield malignancies and facilitate growth, the team engineered chimeric antigen receptor (CAR) T-cells to specifically recognize and target these stromal cells. Functioning as a “Trojan horse,” these modified T-cells not only engage macrophages but also release immune-activating molecules that reprogram the TME, converting immunosuppressive macrophages into anti-tumor effectors. In preclinical models of metastatic lung and ovarian cancer, this approach yielded significant therapeutic efficacy, resulting in extended survival and the complete eradication of tumors in some subjects. By transforming the tumor’s protective infrastructure into a mechanism of its destruction, this strategy offers a promising, potentially pan-cancer modality for treating solid tumors resistant to conventional immunotherapies.


Scientists at the Icahn School of Medicine at Mount Sinai have developed an experimental immunotherapy that takes an unconventional approach to metastatic cancer: instead of going after cancer cells directly, it targets the cells that protect them.

T he study, published in the January 22 online issue of Cancer Cell, a Cell Press Journal [DOI 10.1016/j.ccell.2025.12.021], was conducted in aggressive preclinical models of metastatic ovarian and lung cancer. It points to a new strategy for treating advanced-stage solid tumors.

In a strategy modeled after the famed Trojan horse, the treatment enters the tumors by targeting cells called macrophages that guard the cancer cells, disarms these protectors, and opens up the tumor’s gates for the immune system to enter and wipe out the cancer cells.

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