Latest Articles for Patient Care

Researchers target TM4SF4 to improve outcomes for HCC patients.

New strategies aim to improve outcomes for cystic fibrosis patients with specific mutations.

Enhancing cancer care through tailored patient monitoring and decision-making models.

Exploring the impact of falls on patients in palliative care units.

Study reveals challenges in triaging patients based on urgency in emergency care.

Researchers find compounds that may improve treatments for sickle cell disease.

A new method improves accuracy in medical diagnoses using diverse data types.

A look into the impact of TBI on balance and vestibular function.

This study shows the need for better ICU patient grouping based on unique needs.

New imaging techniques aim to improve treatment outcomes for wet AMD patients.

Research focuses on improving brain stimulation techniques for Parkinson's disease.

A new blood test shows promise in detecting early-stage pancreaticobiliary cancers.

A study on the impact of ambulance offload teams in reducing delays.

A new AI tool enhances drug response predictions for personalized cancer treatment.

A new method aims to balance primary and secondary health outcomes in treatment.

Study compares automated tests for herpes simplex virus diagnoses.

Tanzania addresses long waiting times in hospitals with strategic interventions.

New methods enhance clarity in brain imaging, aiding in health diagnosis.

This article reviews blood tests for early cancer detection and their implications.

A new approach for better healthcare decisions without full cost analysis.

A comparison of research and real-world data on Parkinson's disease progression.

A study highlights diagnostic limitations in idiopathic intracranial hypertension.

Introducing the Yaoundé Sleepiness Scale for better evaluation of excessive daytime sleepiness.

ECG-GPT analyzes ECG images, making heart diagnostics more accessible.

A new wireless system monitors health without the need for sensors.

Connectome Fingerprinting shows promise in predicting brain functions for surgical planning.

Research highlights improved early diagnosis methods for lung cancer using patient data.

A new system improves how language models provide medical information.

Examining how aortic stenosis affects heart function and treatment options.

Understanding drug-drug interactions for safer medication use.

New methods improve treatment recommendations by considering patient adherence.

Combining structured data and unstructured text improves doctors' diagnostic decisions.

A look into the genetic basis and diagnosis of Primary Ciliary Dyskinesia.

A study investigates the effects of home-based neurofeedback on Parkinson's disease symptoms.

SELECTOR utilizes diverse data to predict cancer patient survival accurately.

Examining methods to assess fairness in clinical decision support algorithms.

Study reveals insights into bone metastasis in cancer patients.

Machine learning offers better predictions for bladder cancer recurrence, enhancing patient care.

This article discusses the impact of universal tumor screening for Lynch Syndrome.

Researching contact lenses for improved eye medication delivery systems.