Rheumatoid Arthritis

Spatially interpretable artificial intelligence framework to tailored neoadjuvant dual HER2 blockade in HER2-positive breast cancer.

Neoadjuvant dual HER2 blockade with trastuzumab and pertuzumab plus chemotherapy represents the current standard-of-care for HER2-positive breast cancer. However, treatment responses remain heterogeneous, underscoring the lack of clinically practical tools for predicting treatment efficacy and informing personalized therapy. Here, we developed HER2-LADDER (Layered AI-based Dual-targeteD anti-HER2 ...

A recyclable, mechanically robust, and anti-freezing chitosan/polyvinyl alcohol/polyaniline conductive hydrogel for multifunctional sensing application.

Conductive hydrogels have demonstrated fascinating application potential in flexible electronics. However, conductive hydrogels often exhibit poor mechanical properties, low electrical conductivity and limited recyclability, which hinders the electrochemical performance and green sustainable usability of hydrogel sensors. Therefore, it is crucial to develop hydrogel sensors with satisfactory mecha...

Plasma proteomics improves thrombosis prediction in patients with cancer and identifies targetable IL-17-driven endothelial activation.

Thrombosis remains a major cause of morbidity and mortality in patients with cancer. Existing risk models fail to reliably predict venous thromboembol...

Single-cell multi-omics dissection of RevitalAge Markers uncovers age-dependent immunotherapy resistance and druggable targets in melanoma.

Aging-related molecular reprogramming profoundly influences melanoma progression and therapeutic sensitivity, yet underlying mechanisms remain poorly ...

Enhancing the Efficacy of Ulcerative Colitis Treatment by Inhibiting LCN2-Mediated Pyroptosis Through Traditional Processing Techniques: With the rhizome of Atractylodes macrocephala Koidz. as an Example.

ETHNOPHARMACOLOGICAL RELEVANCE: Atractylodes Macrocephala Rhizome (AMR), the dried rhizome of Atractylodes macrocephala Koidz (family Asteraceae), is ...

Transcriptomic profiling identifies immunotherapy-responsive phenotypes in microsatellite-stable metastatic colorectal cancer.

Conventional immune checkpoint inhibitors (ICIs) remain largely ineffective in microsatellite-stable metastatic colorectal cancer (MSS mCRC), where lo...

Integrating machine learning-based molecular design with experimental validation for the discovery of EGFR inhibitors in lung cancer.

The emergence of drug resistance and off-target toxicities in epidermal growth factor receptor (EGFR) targeted therapies underscores the urgent need f...

Ophiopogon japonicus alleviates pulmonary fibrosis through modulation of HIF1A/TUBB3 axis-associated M2 macrophage polarization and arginine metabolic alterations.

ETHNOPHARMACOLOGICAL RELEVANCE: Ophiopogon japonicus (Thunb.) Ker Gawl. is a traditional Chinese medicinal herb commonly used to "nourish yin and mois...

AI-driven discovery of synergistic combinations from Psoralea corylifolia fruit for treating osteoporosis.

BACKGROUND: Estrogen-deficient osteoporosis demands safe and effective therapies. Psoralea corylifolia fruit (PCF), a phytoestrogenic herbal medicine ...

Biofilm-mediated antibiotic tolerance in bacterial pathogens: Integrated molecular networks and novel therapeutic avenues.

The stable structure of biofilms and the characteristics of the bacteria within them make biofilms an important barrier for bacteria to resist externa...

Sinomenine alleviates ulcerative colitis by targeting FXR to regulate arachidonic acid metabolism and Th17/Treg homeostasis.

Sinomenine (SIN), a bioactive alkaloid with anti-inflammatory activity, has shown therapeutic potential in ulcerative colitis (UC), but its precise mo...

Multi-omics reveals fibroblast subtypes with distinct roles in inflammatory bowel disease.

BACKGROUND: Inflammatory bowel disease (IBD) is a chronic inflammatory disorder of the gastrointestinal tract involving complex interactions among epi...

A temporal-spectral dual-stream anti-noise bearing fault diagnosis model based on adaptive mode decomposition.

In recent years, deep learning-based bearing fault diagnosis models have achieved remarkable performance under ideal experimental conditions. However,...

Mechanism of liquiritin from Codonopsis pilosula-Glycyrrhiza uralensis extract in alleviating piglet weaning stress via binding to alpha-1-microglobulin/bikunin precursor by machine learning and molecular dynamics simulation.

Weaning stress is a prevalent pathological condition in pig farming, primarily triggered by factors such as nutritional imbalance, oxidative stress, i...

Computational approaches for identifying quorum sensing inhibitors.

Quorum sensing (QS) is a critical cell-to-cell communication mechanism employed by microorganisms to coordinate their collective behaviors, including ...

Plasma signals of lung tumor promotion for molecular cancer prevention.

Predicting lung cancer risk would enhance prevention trials. Although the Canakinumab Anti-inflammatory Thrombosis Outcome Study (CANTOS) trial demons...

An in-sensor communication electronic textile for imperceptible and ultrarobust silent speech.

Aphasiacs with impaired vocal organs suffer profound communication barriers, making silent speech decoding essential. Although audible speech is absen...

Bioactive compounds for neuroinflammation and neuropathic pain management: molecular and cellular mechanisms.

Bioactive compounds are a promising multi-target strategy for managing neuroinflammation and chronic pain. Bioactive compounds such as Paeonol, Kaempf...

Targeting Type 2 and Non-type 2 Asthma: Emerging Biologics and Personalized Strategies.

PURPOSE OF REVIEW: Asthma continues to pose a serious global health issue affecting billions of people and causing significant morbidity. It is immuno...

Integrating machine learning with QSPR for property prediction of anti-vertigo drugs.

Vertigo is a debilitating vestibular disorder affecting approximately 10-30% of the global population, yet no dedicated computational chemistry study ...