Application of Biostatistics in Medical Sciences and Global Health

Topic Information

Dear Colleagues,

We are pleased to invite you to contribute to our Topic, "Application of Biostatistics in Medical Sciences and Global Health", which aims to showcase recent advancements in statistical modeling, machine learning, and artificial intelligence (AI) in medical research. This Topic focuses on innovative biostatistical methodologies that enhance disease burden estimation, improve diagnostic accuracy, and optimize treatment strategies.

The integration of biostatistics and machine learning has transformed how we study and combat diseases. Advanced statistical models are crucial for accurately measuring the burden of diseases across populations, particularly for cardiovascular diseases, diabetes, and cancer. Machine learning and AI have proven valuable for predictive modeling, risk stratification, and personalized treatment strategies.

A special emphasis is placed on Raman spectroscopy in cancer research. This technique has shown promise in distinguishing cancer subtypes based on spectral data, offering a highly accurate method for early cancer detection. Studies integrating Raman spectroscopy with AI and statistical modeling are highly encouraged.

In addition, antimicrobial resistance (AMR) poses a growing global health challenge. We welcome research applying statistical modeling and machine learning to study AMR trends, predict resistance patterns, and develop targeted interventions.

We encourage contributions on the following topics:

• Statistical modeling of disease burden and epidemiological trend;
• Machine learning and AI applications in cardiology, diabetes, and cancer;
• Predictive analytics for treatment response and patient outcomes;
• Raman spectroscopy in cancer classification;
• Computational and statistical approaches to antimicrobial resistance.

We look forward to receiving your submissions and advancing the role of biostatistics in global health.

Prof. Dr. Bogdan Oancea
Dr. Adrian Pană
Prof. Dr. Cǎtǎlina Liliana Andrei
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Journal of Personalized Medicine jpm	-	4.1	2011	17.4 Days	CHF 2600	Submit
Mathematics mathematics	2.3	4.0	2013	18.3 Days	CHF 2600	Submit
Applied Sciences applsci	2.5	5.3	2011	18.4 Days	CHF 2400	Submit
Stats stats	0.9	0.6	2018	19.7 Days	CHF 1600	Submit
Healthcare healthcare	2.4	3.5	2013	20.3 Days	CHF 2700	Submit

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