AORTA Association of Research Technology & Academics

Using deep learning to detect early signs of diabetic retinopathy from fundus images with high accuracy.

Surveillance study mapping antimicrobial resistance trends across Indian ICUs using culture data.

Early warning system using ML algorithms to predict sepsis onset 6 hours before clinical diagnosis.

Cross-sectional study on non-alcoholic fatty liver disease prevalence in urban metropolitan populations.

Evaluating health outcomes and patient satisfaction with telemedicine services in rural districts.

Longitudinal assessment of anxiety, depression, and PTSD prevalence in COVID-19 survivors.

Metagenomics study examining gut microbiota diversity and its relationship with obesity biomarkers.

CNN-based model for automated detection and grading of breast lesions in screening mammograms.

Analyzing factors affecting medication adherence and its impact on blood pressure control.

Prospective cohort study linking sleep apnea and insomnia with major adverse cardiac events.

GWAS study identifying novel SNPs associated with T2DM susceptibility in South Asian populations.

Nutritional assessment and intervention study targeting stunting and wasting in children under 5.

Automated arrhythmia detection and classification from 12-lead ECG using transformer models.

Characterizing neurological symptoms persisting beyond 12 weeks after acute COVID-19 infection.

Retrospective study identifying modifiable risk factors for maternal mortality in tertiary care centers.

Study examining the impact of subclinical hypothyroidism on fertility and pregnancy outcomes.

Assessment of professional burnout prevalence and contributing factors among postgraduate medical trainees.

Evaluating accuracy and feasibility of rapid diagnostic tests for malaria, dengue, and typhoid.

Multi-country epidemiological study tracking dengue seroprevalence and vector density.

Exploring gene editing strategies for monogenic disorders like sickle cell anemia and thalassemia.

Designing mRNA-based vaccine constructs for leishmaniasis and other neglected tropical diseases.

Building an end-to-end pipeline for somatic mutation calling and tumor heterogeneity analysis.

iPSC-derived dopaminergic neuron transplantation strategies for Parkinson's disease.

Electrochemical biosensors for ultra-sensitive detection of cardiac and cancer biomarkers.

Assessing biological effects of microplastic accumulation on marine biodiversity and food chains.

Applying AlphaFold2 to predict novel protein structures for drug target identification.

Phytochemical isolation and characterization of antimicrobial compounds from traditional medicinal plants.

Clinical trial examining probiotic supplementation effects on mood, cognition, and gut health markers.

Engineering microbial chassis for efficient production of next-generation biofuels.

Gene editing strategies to improve drought resistance and yield in staple crops.

Developing BERT-based models for automated de-identification of sensitive clinical text data.

XGBoost and LSTM models to predict 30-day readmission risk from discharge summaries.

Multi-modal deep learning for simultaneous analysis of CT, MRI, and X-ray imaging.

Privacy-preserving ML framework enabling cross-hospital model training without data sharing.

Framework for evaluating bias, fairness, and explainability in clinical AI systems.

Molecular property prediction and drug-target interaction modeling using GNNs.

Automated wound type and healing stage classification from clinical photographs.

Population-scale health data analysis for disease burden estimation and trend forecasting.

LLM-powered conversational agent for first-line mental health screening and support.

ARIMA and transformer-based models for predicting infectious disease outbreak trajectories.

SHAP and LIME methods for interpretable AI in diagnosis and treatment recommendation systems.

Reinforcement learning framework for individualized medication dosing in chronic diseases.

Mining Twitter and Reddit for early detection of disease outbreaks and public health signals.

Machine learning models correlating climate variables with health outcome trends globally.

Automated construction of medical knowledge graphs from PubMed abstracts using NLP.

Assessment of health literacy levels and their impact on healthcare-seeking behavior.

Systematic review of sex and gender representation disparities in randomized controlled trials.

Analyzing the relationship between income inequality, poverty, and psychiatric morbidity.

Qualitative study identifying cultural, religious, and misinformation-based vaccine hesitancy.

Longitudinal study on screen time, cyberbullying, and mental health outcomes in teenagers.

Mapping healthcare infrastructure gaps and utilization patterns in scheduled tribal areas.

Cohort study examining health vulnerabilities and resilience among internal migrant workers.

Nudge theory applications for improving health behaviors in low-resource communities.

Framework development for inclusive research co-design with marginalized communities.

Multi-country analysis of educational attainment as a predictor of health literacy and longevity.

GIS-based analysis correlating PM2.5 levels with COPD, asthma, and lung cancer incidence.

Mapping waterborne disease outbreaks to source water contamination parameters.

Modeling climate-driven shifts in malaria, dengue, and chikungunya distribution.

Assessing excess mortality and morbidity attributable to urban heat islands in metro cities.

Experimental and epidemiological evidence linking plasticizer exposure to hormonal disorders.

Mapping food insecurity hot-spots and micronutrient deficiency burden in South Asia.

Case-control study on organophosphate exposure and Parkinson's disease risk in farming communities.

Assessment of occupational and environmental health risks in informal e-waste recycling sectors.

Integrated human-animal-environment surveillance for emerging zoonotic disease threats.

Measuring household air pollution from cooking fuels and its health impact on women and children.

In vitro and in vivo screening of herbal extracts for alpha-glucosidase inhibitory activity.

Computational and experimental repurposing of FDA-approved drugs for NTD treatment.

Designing polymeric nanoparticles for targeted delivery of anticancer drugs to tumor sites.

Systematic monitoring of adverse drug reactions and polypharmacy risks in geriatric populations.

Genotype-guided drug selection for optimizing warfarin, clopidogrel, and chemotherapy dosing.

Isolation and characterization of bioactive compounds from coral reef organisms with cytotoxic activity.

Crossover bioequivalence trials comparing generic formulations of essential medicines.

Evidence synthesis on herb-drug interactions and safety of Ayurvedic compounds.

Database-driven analysis of clinically significant drug-drug interactions in multi-morbid patients.

Developing quality control standards and fingerprinting methods for traditional medicine formulations.

fMRI and structural MRI analysis identifying neural correlates of treatment-resistant depression.

Randomized controlled trial comparing digital CBT with face-to-face therapy for GAD.

MBSR program effectiveness on pain intensity, disability, and quality of life in chronic pain patients.

Blood-based biomarker panel for preclinical Alzheimer's detection using amyloid and tau proteins.

Prevalence and risk factors for PTSD among frontline healthcare workers post-pandemic.

Systematic review and meta-analysis of app-based mental health interventions efficacy.

Non-invasive BCI development for motor rehabilitation in stroke and spinal cord injury patients.

Actigraphy-based study correlating sleep architecture with academic and occupational performance.

Literature review and protocol development for psilocybin-assisted therapy in treatment-resistant depression.

Evaluating early behavioral and technology-assisted interventions for ASD in Indian children.

Flexible electronics-based wearables for real-time monitoring of glucose, cortisol, and vitals.

Scaffold-free 3D bioprinting of vascularized tissue constructs for regenerative medicine.

Systematic review comparing robotic, laparoscopic, and open surgery outcomes across specialties.

Smart hospital framework using IoT sensors for asset tracking, infection control, and patient flow.

UX research and clinical evaluation of telemedicine platforms across diverse patient populations.

Myoelectric prosthetic limb controlled by EMG signals with sensory feedback mechanisms.

Decentralized EHR system using blockchain for patient data ownership and interoperability.

Mixed reality simulation platforms for procedural skills training in surgical residency programs.

Operational feasibility and cost analysis of UAV-based drug and blood delivery in remote areas.

End-to-end MLOps pipeline for deploying medical imaging AI models in clinical production environments.

Framework for ethical research conduct addressing consent, vulnerability, and benefit sharing in LMICs.

Strategies for translating complex health research into accessible public health messaging.

Comparative policy analysis of universal health coverage implementation across WHO regions.

Integrating narrative medicine, ethics, and arts in medical education and clinical practice.

Collaborative multi-disciplinary research program uniting medicine, technology, and social sciences.