Out now: The December issue of Precision Clinical Medicine (Vol 8, Issue 4) is live! 🔬 This issue explores: 📉 New guidelines for obesity management 🤖 AI’s impact on the future of endocrinology 🧬 CRISPR-based prime editing 🎗️ HER2-ultralow breast cancer research Full issue here: bit.ly/4r5BAFs

Research confirms high pre-treatment SII correlates with worse OS and PFS in NSCLC patients on immune checkpoint inhibitors. This biomarker reflects the balance between inflammatory status and immune response, aiding clinical risk stratification. academic.oup.com/pcm/article…

Researchers used spatial transcriptomics to construct a high-resolution map of the gastric cancer microenvironment. Findings highlight the role of mCAFs and the CXCL12-CXCR4 axis in driving tumor progression and immune exclusion. academic.oup.com/pcm/article…

New research demonstrates that machine learning effectively identifies dementia risk in patients with diabetes. By analyzing clinical data like blood pressure and glucose levels, clinicians can better target and personalize early preventive care. academic.oup.com/pcm/article…

Researchers found EGFR (56.3%) and TP53 (48.1%) are the most frequent mutations in Chinese lung adenocarcinoma. Significant molecular differences from Western data underscore the importance of ethnically tailored targeted therapies and clinical trials. academic.oup.com/pcm/article…

Precision medicine offers hope for refractory pediatric cancers. The ZERO program achieved a 34.6% objective response rate using targeted therapies based on comprehensive genome and transcriptome sequencing. academic.oup.com/pcm/article…

AI and machine learning are revolutionizing oncology via automated pathology analysis and better patient stratification. Integrating diverse omics layers reveals hidden biomarkers, paving the way for real-time monitoring. academic.oup.com/pcm/article…

Genetic variants like PNPLA3 (I148M) drive MAFLD progression. Precision medicine integrates these markers into polygenic risk scores to identify high-risk patients before advanced liver damage occurs. academic.oup.com/pcm/article…

Spatial transcriptomics is revolutionizing precision oncology by mapping gene expression within its native tissue context. Peer into the tumor microenvironment to uncover biomarkers and therapy resistance mechanisms. academic.oup.com/pcm/article…

AI and LLMs are transforming precision medicine, offering new ways to interpret complex genomic data and improve clinical decision-making. Future developments include multimodal models integrating imaging and wearable data. academic.oup.com/pcm/article…

AI-driven pathomics enhances oral cancer diagnosis. Deep learning models identify tumor boundaries and predict lymph node metastasis, offering objective assessments for personalized treatment and better patient outcomes. academic.oup.com/pcm/article…

AI-driven multi-omics integration is transforming drug repurposing for cardiovascular diseases. This research identifies Baricitinib and Metformin as candidates to modulate inflammatory pathways associated with atherosclerosis. academic.oup.com/pcm/article…

Multi-omics is the future of precision oncology. By integrating data across biological layers, researchers can better predict drug resistance and tailor therapies to each individual. academic.oup.com/pcm/article…

Precision oncology is shifting from one-size-fits-all to tailored strategies using multi-omics and AI. This integration improves biomarker discovery and treatment predictions for better cancer care. academic.oup.com/pcm/article…

Unlike bulk RNA-seq, spatial transcriptomics preserves the "where" of gene expression. It reveals how cellular organization drives tumor progression and treatment resistance in the complex microenvironment. academic.oup.com/pcm/article…

AI architectures like CNNs and RNNs are revolutionizing oncology. Researchers are using deep learning to predict drug sensitivity and survival outcomes, moving us closer to truly personalized cancer care. academic.oup.com/pcm/article…

The integration of spatial transcriptomics and scRNA-seq is transforming oncology. This "spatial multi-omics" approach maps the tumor microenvironment in high-definition, revealing critical cell interactions and immune evasion niches. academic.oup.com/pcm/article…

Advancements in NSCLC precision medicine include targeted TKIs for EGFR/ALK and immune checkpoint inhibitors. Discover how liquid biopsy and multi-omics are shaping the future of personalized oncology. academic.oup.com/pcm/article…

Precision medicine is revolutionizing colorectal cancer care. Biomarkers like RAS, BRAF, and MSI guide targeted therapies, improving survival and reducing treatment toxicity for patients. academic.oup.com/pcm/article…

Biomarkers like MSI-H and BRAF V600E are revolutionizing colorectal cancer management. Immunotherapy and novel targeted combinations now offer improved survival for specific molecular subtypes previously resistant to standard care. academic.oup.com/pcm/article…

AI helps detect early-stage cancers and assists in tissue diagnostics. By automating data analysis, AI empowers clinicians to provide more informed and efficient patient outcomes. academic.oup.com/pcm/article…