AIMC Topic: Precision Medicine

Clear Filters Showing 901 to 910 of 1233 articles

Anaesthesia in 2050: how emerging technologies will transform our practice: The Sir Robert Macintosh Lecture 2025.

European journal of anaesthesiology
In the next 25 years, we will see unprecedented technological progress due to the artificial intelligence (AI) revolution. AI-driven advances will be made in five strongly interconnected domains: reenergised drug discovery, continuous real-time monit...

Emerging biomarkers for pancreatic cancer: from early detection to personalized therapy.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
Pancreatic cancer (PC) remains one of the most lethal malignancies, primarily due to its poor prognosis and late diagnosis. Biomarkers are essential in enhancing diagnostic accuracy, prognostic assessments, and therapeutic strategies, thereby address...

[Resolving the diagnostic dilemma of gastroesophageal reflux disease: multimodal integration strategies and novel perspectives for precision assessment].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery
Gastroesophageal reflux disease (GERD) is characterized by significant clinical heterogeneity. Conventional diagnostic approaches, including symptom-based questionnaires, empirical acid suppression trials, and single-modality objective tests, demonst...

Subtyping-Directed Precision Treatment Refines Traditional One-Size-Fits-All Therapy for HR+/HER2- Breast Cancer.

Cancer research
UNLABELLED: The standard approach of using one-size-fits-all endocrine therapy for hormone receptor (HR)-positive and human epidermal growth factor receptor 2 (HER2)-negative breast cancers has faced significant challenges because of variations in tr...

Heterogeneous Driving Effects Guide Personalized Tumor Treatments Targeting N6-Methyladenosine.

Cancer research
UNLABELLED: Alterations to N6-methyladenosine (m6A) modifications can promote malignant progression by modulating gene expression through regulation of transcript metabolism. Quantifying the causal impact of m6A dysregulation at the population level ...

Artificial intelligence in predicting efficacy and toxicity of Immunotherapy: Applications, challenges, and future directions.

Cancer letters
Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment, becoming a standard approach for various tumor types. Consequently, accurately predicting their efficacy has become crucial in clinical practice. Artificial intelligence (AI) h...

Neoantigen-driven personalized tumor therapy: An update from discovery to clinical application.

Chinese medical journal
Neoantigens exhibit high immunogenic potential and confer a uniqueness to tumor cells, making them ideal targets for personalized cancer immunotherapy. Neoantigens originate from tumor-specific genetic alterations, abnormal viral infections, or other...

Whole Exome Sequencing on FHIR: Towards Adoption in Clinical Practice for Precision Oncology Pipelines.

Studies in health technology and informatics
INTRODUCTION: Whole Exome Sequencing (WES) promises to open a new range of personalized treatments due to breaking the limits of former panel-based methods of molecular analysis. While the methodology is well established and already included in clini...

[Pay attention to the application value of artificial intelligence in the diagnosis, treatment and analysis of sepsis].

Zhonghua yi xue za zhi
In critical care medicine, sepsis management represents a critical barrier to improving clinical outcomes, primarily due to the disease's profound heterogeneity and the current inability to optimally identify patient subgroups benefiting from persona...

Transforming Skin Quality Evaluation With AI: From Subjective Grading to Data-Driven Precision.

Journal of cosmetic dermatology
BACKGROUND: Skin quality has a significant influence on aesthetic perception, yet its clinical evaluation remains subjective and inconsistent. Traditional assessments, such as visual grading and manual scoring, lack reproducibility and fail to captur...