Muhammad Osama

BTech(MechEng)

Mechanical Engineering with specialization in AI & Robotics

Muhammad Osama is a full-time data analytics consultant and freelance technical writer based in Delhi, India. He specializes in transforming complex technical concepts into accessible content. He has a Bachelor of Technology in Mechanical Engineering with specialization in AI & Robotics from Galgotias University, India, and he has extensive experience in technical content writing, data science and analytics, and artificial intelligence. Muhammad has worked on various research projects related to data analytics, machine learning, and deep learning for industries such as retail, medical, finance, agriculture, and Ed-Tech. He is enthusiastic and passionate about Artificial Intelligence-related research. Outside of work, he enjoys learning about new developments across all the fields related to science, technology, engineering, mathematics, and statistics.

Articles from Muhammad

Heme Uptake and Its Role in Vascular Health: Insights from Raman Imaging

In a recent article published in Scientific Reports, researchers used Raman imaging to explore how endothelial cells uptake heme, offering new insights into the mechanisms that mitigate inflammation and oxidative stress in cardiovascular health.

11 Sep 2024

Vaccine Authenticity Verification Using MALDI-MS and Machine Learning

In a recent article, researchers explored the use of MALDI-MS and machine learning to verify vaccine authenticity, offering a novel method to combat the growing issue of falsified vaccines and improve global vaccine supply chain monitoring.

9 Sep 2024

Serum-Based Raman Spectroscopy: Accurate and Non-Invasive CHD Diagnosis

In a recent article published in Heliyon, researchers demonstrated the potential of serum-based Raman spectroscopy for the non-invasive diagnosis of congenital heart defects (CHDs). This technique offers high accuracy in detecting and classifying CHD subtypes, providing a promising tool for improving diagnostic methods.

4 Sep 2024

ML-Powered IR Spectroscopy for Myasthenia Gravis Diagnosis

In a recent article published in Scientific Reports, researchers explored using ATR-FTIR spectroscopy combined with machine learning algorithms to improve the diagnosis of myasthenia gravis (MG), offering a potential breakthrough in early detection and personalized treatment strategies.

3 Sep 2024

Infrared Spectroscopy for Prediction Infection Risk in Kidney Stone Patients

In an article published in Scientific Reports, researchers developed a predictive model using infrared spectroscopy to assess postoperative infection risk in kidney stone patients, offering a novel tool for improving treatment outcomes.

28 Aug 2024

HySCAI: A Novel Tool for 2D Auroral Imaging and Spectroscopy

In an article published in Earth, Planets and Space, researchers introduce the HySCAI system, a groundbreaking tool that captures 2D auroral images with full spectral data, advancing our understanding of auroral phenomena.

26 Aug 2024

Enhancing Cu Estimation in Urban Soil Using Vis-NIR Spectroscopy

In a recent study in Land, researchers evaluated the effectiveness of vis-NIR spectroscopy for monitoring copper levels in urban soils, highlighting the importance of sample similarity in accurate Cu estimation models.

20 Aug 2024

Malaria Detection in Pregnancy: Evaluating RDTs and Microscopy

In a recent article in IJID Regions, researchers assessed the accuracy of rapid diagnostic tests and microscopy for detecting asymptomatic malaria in pregnant women in Nigeria, highlighting the need for more sensitive diagnostic tools.

19 Aug 2024

Enhancing Sample Preparation with FTIR Spectroscopy: Key Applications Across Science

In an article published in Advances in Sample Preparation, researchers review the diverse applications of FTIR spectroscopy in enhancing sample preparation techniques across various scientific fields.

14 Aug 2024

Optimizing Ag/Au Nanoparticles for Nonlinear Optics

In an article published in Nanomaterials, researchers explored the synthesis and nonlinear optical properties of Ag/Au alloy nanoparticles using a pulsed laser ablation method, highlighting their potential in advanced optical applications.

12 Aug 2024

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