All of the articles in this proceedings volume have been presented at the SYMRESEARCH 2.0-2025 during 18-20 September 2025 in Symbiosis International (Deemed University), Pune, India. These articles have been peer reviewed by the members of the Research and Review Committee and approved by the Editor-in-Chief,...

Titanium Pharmacovigilance objective is to increase the care for the patients, recognize wellbeing in medicinal use and take measures to decrease the unwanted harm to patients from medicinal products and assess the advantage and risk ratio. The study of drug safety saves lives by finding dangerous side...

Titanium dental implants are often modified for enhanced osseointegration and antibacterial activity using techniques like sandblasting, acid etching, anodization or antibacterial coatings. However, these modified surfaces are highly reactive and hence prone to contamination during storage which may...

Acute myeloid leukemia (AML) cells often display resistance to conventional chemotherapy, partly due to the influence of AML-derived extracellular vesicles (AML-EVs). These vesicles, including microvesicles (MVs) and exosomes (Exos), play key roles in leukemic progression and bone marrow (BM) niche remodeling....

Aged heart is well-defined via functional and structural dysfunction. Presence of excessive D-gal activates glycation pathway, where excessive D-gal converts via non-enzymatic reaction with free amino groups to form advanced glycation end-products (AGEs). Further, AGEs and Receptor of AGEs (RAGE) interaction...

Since doctors’ decisions are primarily based on laboratory results, accurate test results are essential to the healthcare system. Maintaining accurate laboratory results requires regular performance evaluations. The most recent iteration of total quality management is called Six Sigma. The study’s main...

Background Hemodialysis catheter-related blood stream infections (CRBSI) pose a major challenge in patients undergoing maintenance dialysis by increasing associated morbidity and mortality. Objective To determine the incidence,...

The prevalence of fluoroquinolone resistance in Klebsiella pneumoniae remains a significant threat to the treatment and control of infections. The development of rapid methods that provide information on the antibiotic susceptibility of K. pneumoniae may play a crucial role in mitigating drug resistance....

Background Diabetic foot infections (DFIs) present significant challenges due to their polymicrobial nature and rising multidrug resistance. Objective To analyze the microbiological profile, antimicrobial resistance, and clinical...

Melanoma is a difficult type of skin cancer that needs to be identified early in order to increase survival rates. In order to efficiently fight this health issue, it is essential that medical imaging technology be used for timely identification. Melanoma-related mortality can be considerably decreased...

The scarcity of large, well-annotated medical imaging datasets poses a significant challenge to developing robust and generalizable diagnostic models. Although chest X-rays (CXRs) are among the most widely used imaging modalities, publicly available datasets often suffer from severe class imbalance and...

The early and accurate diagnosis of cancer remains a critical challenge in modern biomedical science, demanding innovations that combine sensitivity, specificity, and speed. Photonic Crystal Fiber (PCF)-based biosensors have emerged as powerful optical platforms due to their exceptional light-guiding...

The panoramic radiographs offer a synoptic view of the dentoalveolar anatomy but is cumbersome to analyze reliably in the presence of concurrent caries, loss of periodontal bone and impactions. By utilizing modern deeply learned object detectors (YOLO-family) that have become commoditized, the review...

Lung cancer is the leading cancer killer and as computer-assisted systems enter the clinic, it requires the creation of powerful systems across the scanners, locations and workflows. The study examines the feature engineering strategies of CT/CXR, pathology, and EMR/omics and summarize them in a manner...

This study compares how countries (India and Hungary) navigate trade-offs owing to industrialisation initiatives while pursuing climate goals. Hungary faces farmland loss and ecological risks from large Electric Vehicles (EV) battery plants, while India struggles with land diverted to solar parks and...

Metallic pollutants released from industry into aquatic environment has become a concern that progressively pollutes ecosystems and poses a risk to public health due to their toxicity, persistence nature, and non-biodegradability. Traditional wastewater treatment techniques essentially targets on contaminant...

One of the major challenges that urban Indian restaurants and QSRs are facing these days with regard to sustainability is the growing menace of food wastage. Food wastage gives rise to financial loss, inefficient resource utilization, and also causes harm to the environment. The UN report of 2021 also...

Background /Introduction: Adolescent mental health disorders are on the rise in India, where access to professional support is severely hampered by workforce shortages, stigma, and infrastructural barriers. Early identification within school settings is critical but seldom put into practice....

The availability of enormous research articles in the biomedical field makes highlighting significant research in the field of interest difficult. Text mining helps identify data of importance from a vast pool of data, while network visualization gives a graphical presentation of the data for easy understanding....

Across the world, Cancer is one of the most dangerous diseases and which may cause death. Early and accurate diagnosis of the cancer may reduce the effect on patient health. For lung cancer prediction, machine learning models have historically depended on centralized datasets. Because of data governance...

The measurement of blood pressure (BP) accurately and non-invasively is still a very important challenge in monitoring cardiovascular health. This exploratory study evaluates multiple spectral conversion methods, Short-Time Fourier Transform (STFT), Continuous Wavelet Transform (CWT), Fast Fourier Transform...

Background Pre-employment health assessments represent a valuable yet underutilized opportunity for preventive care in university workforces. Objectives This study developed a machine learning–based framework to (i) predict...

Generative Artificial Intelligence (GAI) is reshaping cancer diagnostics by enabling reliable analysis of complex medical imaging, which improve timely detection and treatment planning. The comprehensive review aims to evaluate the present applications of generative AI techniques, such as generative...

Mental health problems such as depression, anxiety, schizophrenia, and Alzheimer’s disease continue to present significant challenges due to their delayed detection, lack of clinical resources, and subjective diagnosis methods. Detection of these diseases in their early stages becomes very crucial for...

Obesity has come up to light as the most vital health concerns of the current century, which is leading towards many diseases. According to the WHO (2022), globally obesity has become three times in the last 50 years, which is 1 out of 8 people is having obesity in adults. It is no longer viewed as a...

The most common and dangerous brain tumor is glioma and have a unfavourable outcome, significant morbidity, and high mortality. Clinical decision-making depends on accurate and timely glioma grading. While recent DL models have achieved exceptional results in the classification of medical images, their...

Extreme heat events are increasing in frequency, intensity, and duration under climate change with a mean global temperature rise of 1.2 ℃ having arisen from increasing greenhouse gas emissions. This effect threatens public health in densely populated regions such as India. In this paper, an AI based...