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FAR Publishing Limited


Oncology drug resistance prediction tools: Database infrastructure, algorithmic innovation, and clinical translation

Artificial intelligence is being harnessed to integrate multi-omics data from large-scale repositories such as TCGA and GDSC to decode tumour drug resistance. The review advocates for explainable AI frameworks, multimodal fusion strategies, and dynamic liquid-biopsy monitoring to address barriers to clinical adoption.

SourceFAR Publishing Limited·JournalCurrent Molecular Pharmacology·DateJun 25, 2026

MiR-29a as a molecular target in cancer: Prevention strategies with natural products

Researchers identified miR-29a as a pivotal regulator of cancer development, which can act as both a tumor suppressor and an oncogene. Natural bioactive compounds such as curcumin, EGCG, and resveratrol have been shown to restore normal miR-29a expression through epigenetic remodeling and inhibition of oncogenic signaling pathways.

SourceFAR Publishing Limited·JournalCurrent Molecular Pharmacology·DateJun 25, 2026

Metabolic reprogramming and epigenetic regulation: The dual role of lactate and lactylation in pancreatic ductal adenocarcinoma progression and therapeutics

A recent review highlights the pivotal role of lactate and lactylation in PDAC progression, including their function as alternative metabolic fuel, signaling molecule, and epigenetic regulator. Therapeutic strategies targeting lactate metabolism offer promise, but clinical translation faces significant hurdles.

SourceFAR Publishing Limited·JournalCurrent Molecular Pharmacology·DateJun 25, 2026

IGFBP1 shows promise as a non-invasive biomarker for monitoring disease activity in elderly IBD patients

A recent study found that IGFBP1 levels are significantly higher in elderly IBD patients and negatively correlated with inflammation-related markers. Elevated IGFBP1 levels were associated with lower clinical, endoscopic, and histological disease activity, suggesting a promising non-invasive tool for managing elderly IBD patients.

SourceFAR Publishing Limited·JournalCurrent Molecular Pharmacology·DateMar 24, 2026

Navigating academic integrity in biomedical research: The impact of large language models on current practices and future directions

Large Language Models pose both benefits and challenges to academic integrity in biomedical research, enhancing efficiency and quality but also promoting misconduct and bias. To address these issues, this paper proposes solutions centered on ten core dimensions.

SourceFAR Publishing Limited·JournalInternational Journal of Surgery·TypeLiterature review·DateFeb 5, 2026

Decision-making performance of large language models vs. human physicians in challenging lung cancer cases: A real-world case-based study

A real-world study compared LLMs to human physicians in challenging lung cancer cases, finding that LLMs excel in rare cases with high comprehensiveness and specificity scores. However, they struggle with refractory cases, where physicians' reasoning stability is crucial.

SourceFAR Publishing Limited·JournalIntelligent Oncology·TypeObservational study·DateJan 24, 2026

Translational aspects of DNA damage repair in optimizing cancer chemotherapy

This review analyzes molecular mechanisms of DDR pathways in mediating chemotherapy resistance, elucidating correlations with BRCA1/2 deficiency and ATM/ATR signaling pathway dysregulation. The study presents a novel molecular synergy model between DDR regulation and Immune Checkpoint Blockade to enhance immunotherapy responses.

SourceFAR Publishing Limited·JournalAdvanced Genetics·TypeLiterature review·DateJan 24, 2026

Preoperative VEGFR-TKI Plus ICI therapy facilitates 3D-guided cytoreductive nephron-sparing surgical feasibility and immune remodeling in advanced renal cell carcinoma

This study explores the feasibility of preoperative VEGFR-TKI plus ICI therapy for advanced renal cell carcinoma, finding improved cNSS rates and preservation of renal function. The therapy also induces robust immune activation through increased CD8⁺/CD20⁺ infiltration and tumor microenvironment remodeling.

SourceFAR Publishing Limited·JournalMed Research·DateJan 7, 2026

The global burden of leukemia, 1990–2021: a systematic analysis of prevalence, DALYs, and risk factors from the global burden of disease study

Leukemia prevalence increased by 28.0% globally from 1990 to 2021, alongside a 16.2% decline in disability-adjusted life years (DALYs). Chronic lymphocytic leukemia (CLL) is the most prevalent subtype, while acute myeloid leukemia (AML) contributes the largest proportion of DALYs.

SourceFAR Publishing Limited·JournalMed Research·TypeSystematic review·DateJan 1, 2026

Coenzyme Q2 identified as a novel anesthetic with unique mitochondrial mechanism

A recent study published in Current Molecular Pharmacology reveals CoQ2's sedative-hypnotic properties, inducing reversible loss of righting reflex and altering electroencephalogram activity. The compound disrupts mitochondrial membrane potential by inducing excessive proton leak and inhibiting electron transport chain complexes I and IV.

SourceFAR Publishing Limited·JournalCurrent Molecular Pharmacology·DateDec 28, 2025

A dual-action strategy: Everolimus alleviates ulcerative colitis via inflammation suppression and microbiota remodeling

A new study reveals that Everolimus effectively inhibits the CLEC4E/Syk/NF-κB signaling axis, reducing pro-inflammatory cytokine production. The drug also alters the gut microbiota, restoring microbial diversity and enriching beneficial species, leading to improved barrier integrity and reduced inflammation.

SourceFAR Publishing Limited·TypeExperimental study·DateDec 8, 2025

Large language models in cardiovascular imaging: Current applications and future prospects

Large language models are revolutionizing cardiovascular imaging by automating the interpretation of quantitative perfusion data in nuclear medicine and cardiac magnetic resonance. They also enable personalized protocol optimization in coronary computed tomography angiography, leveraging federated learning for data privacy.

SourceFAR Publishing Limited·JournalMed Research·TypeCommentary/editorial·DateDec 2, 2025

Immunometabolic features and key biomarkers in lung cancer complicated by pulmonary tuberculosis: insights from transcriptome and clinical cohort analysis

This study explores the immune and molecular basis of lung cancer complicated by pulmonary tuberculosis, identifying diagnostic biomarkers through transcriptome analysis. Key findings include increased CD4+ T cells, NK cells, and specific gene expressions, providing a validated four-gene diagnostic signature for external evaluation.

SourceFAR Publishing Limited·TypeExperimental study·DateDec 2, 2025

Rohan Chand Sahu from Indian Institute of Technology (IIT) explores AI-powered nanomedicine: Machine learning redefines precision cancer drug delivery

Machine learning (ML) streamlines nanomedicine development by predicting nanoparticle parameters and optimizing drug release profiles. ML models can personalize therapeutic regimens for individual patients, addressing longstanding challenges in cancer therapy.

SourceFAR Publishing Limited·JournalMed Research·TypeLiterature review·DateDec 2, 2025

Incidence and mortality risks of gastrointestinal cancers during working-age period: Trends and disparities in 204 countries and territories (1990–2021)

The study analyzed global data from 1990 to 2021, finding that GI cancer risks peak between ages 40-64 and differ by sex, socioeconomic status, and geography. Colorectal cancer has the highest incidence risk, while stomach cancer demonstrates the highest mortality risk.

SourceFAR Publishing Limited·JournalMed Research·TypeData/statistical analysis·DateDec 1, 2025

Transforming acute exacerbations of chronic obstructivepulmonary disease (AECOPD) risk assessment: Amulti-algorithm machine learning approach for preciseclinical phenotyping

A multi-algorithm machine learning approach enhances AECOPD prediction by identifying key clinical features, including biochemical indicators, demographic characteristics, and pulmonary function parameters. The integrated model demonstrates superior predictive performance compared to traditional methods.

SourceFAR Publishing Limited·JournalView·TypeObservational study·DateNov 22, 2025

New research reveals the inflammatory mechanism behind VEGF(R) inhibitors, providing new insights into safer cancer treatment

New research reveals VEGF(R) inhibitors induce arthritis through increased inflammatory responses and activation of pro-inflammatory pathways. The study provides important mechanistic insights into this treatment-related adverse event, ultimately enhancing oncology care safety.

SourceFAR Publishing Limited·JournalCommunications Medicine·TypeData/statistical analysis·DateNov 19, 2025