AIMC Topic: Humans

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Neural correlates of metacognition in education: a machine learning approach.

Neuropsychologia
Metacognition, the ability to reflect and regulate one's cognitive processes, has been shown to play a role in various aspects of life, particularly in academic settings. While important steps have been made in uncovering the neural basis of metacogn...

Integrated single-cell and clinical transcriptomic analysis identifies blunted glycolytic activation as a hallmark of maladaptive repair in renal ischemia-reperfusion.

Renal failure
Acute kidney injury (AKI) is a common and increases risk of chronic kidney disease (CKD). While mitochondrial dysfunction drives maladaptive repair, the role of glycolysis in renal recovery remains unclear. Here, we integrated single-cell transcripto...

Adipocyte-selective mRNA lipid nanoparticles for cell programming with machine learning analysis.

Journal of controlled release : official journal of the Controlled Release Society
Adipose tissue plays a crucial role in energy metabolism and endocrine signaling. White adipose tissue (WAT), in particular, is a compelling target for therapeutic interventions in metabolic diseases due to its secretory capacity and abundance. Gene ...

Perivascular inflammation in the progression of aortic aneurysms in Marfan syndrome.

JCI insight
Inflammation plays important roles in the pathogenesis of vascular diseases. We here show the involvement of perivascular inflammation in aortic dilatation of Marfan syndrome (MFS). In the aorta of patients with MFS and Fbn1C1041G/+ mice, macrophages...

Inflammation and B cell activation define a plasma proteome signature predicting tuberculosis in people with HIV.

mBio
Improved biomarkers for predicting progression to active tuberculosis (TB) are urgently needed, especially in people with HIV, who are at elevated risk. We used high-throughput plasma proteomics and machine learning to identify signatures associated ...

Mapping a interactome by crosslinking mass spectrometry and machine learning.

mBio
, a widespread human parasite, persists in hosts through complex molecular interactions. Protein-protein interactions (PPIs) underpin essential biological processes, including parasite-host interactions and cellular invasion. Herein, we utilized adva...

Phenotypic Screening for Targeted Protein Degradation: Strategies, Challenges, and Emerging Opportunities.

Journal of medicinal chemistry
Phenotypic screening is undergoing a resurgence in the field of targeted protein degradation as a powerful complement to target-based approaches, which are often constrained by requirements for detailed structural and ligand-binding information. Phen...

MultiSAAl: Sequence-Informed Antibody-Antigen Interaction Prediction Using Multiscale Deep Learning.

Journal of chemical information and modeling
Antibody-antigen interaction prediction is essential for therapeutic development but remains experimentally costly. The dynamic conformational changes essential to antibody-antigen binding are often missed by structure-based methods relying on static...

Parallel trade-offs in human cognition and neural networks: The dynamic interplay between in-context and in-weight learning.

Proceedings of the National Academy of Sciences of the United States of America
Human learning embodies a striking duality: Sometimes, we can rapidly infer and compose logical rules, benefiting from structured curricula (e.g., in formal education), while other times, we rely on an incremental approach or trial-and-error, learnin...

Echoes in AI: Quantifying lack of plot diversity in LLM outputs.

Proceedings of the National Academy of Sciences of the United States of America
With rapid advances in large language models (LLMs), there has been an increasing application of LLMs in creative content ideation and generation. A critical question emerges: can current LLMs provide ideas that are diverse enough to truly bolster co...