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Central Research Laboratory for Central Research Laboratory for Molecular Genetics, Bioinformatics and Machine Learning Managed by Department of Biochemistry

Vision

To create a multidisciplinary, cutting-edge research facility that seamlessly integrates basic biomedical research with advanced computational methods, thereby enhancing research outcomes, driving breakthroughs that culminate in high-quality publications in esteemed national and international peer-reviewed journals, and elevating the institution’s research profile globally.

Laboratories within the CRL

  • Karyolab (Cytogenetics Laboratory)
  • Bioinformatics Laboratory
  • Machine Learning Laboratory
  • Molecular Biology Laboratory
  • Sample Processing & Distillation Unit
  • Immunoassay Laboratory
  • Biological sample storage facility

Infrastructure available

Computational

  • High Capacity ML Units (×2, GPU-enabled)

Molecular Biology

  • RT-PCR Unit
  • PCR Workstation
  • UV Transilluminator
  • Cold Centrifuge
  • Plate Centrifuge (RT)
  • All necessary stirrers, vortex mixers, centrifuges, micropipettes, balances, etc.
  • SDS-PAGE setup and accessories

Clinical Chemistry

  • ELISA Unit
  • Semi Analyzer (Small Capacity)
  • High Capacity Semi Auto Analyzer

Imaging

  • Stereo Microscope
  • Compound Microscope with software for image capture and analysis

Storage & Others

  • −20°C Storage Units (×2)
  • BOD Incubator
  • Bacterial Incubator
  • Hot Air Ovens
  • Water Baths

Infrastructure available

  • Cell & Molecular Biology

Perform advanced investigations into DNA, RNA, and protein expression to understand cellular
mechanisms and support translational research.

  • ELISA-Based Quantification

Utilize highly sensitive and reproducible ELISA techniques for accurate protein detection and
quantification.

  • Clinical Chemistry Analysis

Perform biochemical assays using semi-automated and fully automated analyzers for reliable,
high-throughput clinical and research applications.

  • Exosome Proteomics

Analyze exosomal cargo to uncover biomarkers and gain insights into intercellular
communication.

  • Cell Signalling Analysis

Decode complex signaling pathways to understand cellular responses and functional interactions.

  • High-Throughput Metabolomics

Investigate metabolic alterations and pathway dynamics associated with physiological and
pathological conditions.

Dry Lab Capabilities

  • Whole Exome Sequencing Analysis

Identify and interpret genetic variants with precision to reveal mutation profiles and
disease associations.

  • Bioinformatics & Machine Learning

Apply advanced computational models to predict candidate genes, biomarkers, and
therapeutic targets.

  • Biomedical Statistical Analysis

Ensure robust, reproducible, and meaningful interpretation of experimental data using
rigorous statistical frameworks.

  • Integrated Multi-Omics Analysis

Develop customized pipelines integrating genomics, transcriptomics, proteomics, and
metabolomics for holistic insights.

  • Custom Pipeline Development

Build scalable, reproducible analytical workflows tailored to specific research needs.

  • AI-Assisted Programming & Automation

Develop efficient analytical pipelines using R and Python, enhanced by modern
AI/LLM-assisted approaches.

  • Cloud-Based Computing (Google Colaboratory)

Enable scalable, collaborative, and resource-efficient data analysis using cloud
platforms.

  • Android Application Development (Healthcare)

Design and develop customized Android applications tailored for healthcare and biomedical research, enabling efficient patient data management, clinical workflow integration, real-time monitoring, and intuitive data visualization while ensuring data security and compliance.

End-to-End Research Support

  • Support research from concept to publication, including grant writing, review articles, manuscript preparation, infographics, and scientific illustrations.

Dry Lab Capabilities

Total Active Projects
200 +
Faculty Research
100 +
PG Dissertations
50 +
UG Student Projects
20

Three Strategic Research Focus Areas

  • Non-Communicable Diseases
  • Maternal & Child Health
  • Infectious Diseases

80+ bioinformatics & AI/ML papers published in last 9 months

Research Themes

Clinical Research

Medication adherence, ADR prediction, drug-drug interactions, hospital antibiograms, clinical laboratory QC using ML, surgical outcomes

AI & Machine Learning

15+ ML projects across all three areas: diabetic retinopathy screening, SAM prediction, pre-eclampsia, treatment response, antimicrobial resistance, chest X-ray classification

Genetics & Genomics, Bioinformatics

Multi-omics studies, GWAS, pediatric epilepsy gene polymorphisms, gestational diabetes prediction, diabetic nephropathy, cancer pathogenesis, COVID-19 severity

Research Impact Areas

  • Clinical Excellence: Focusing on innovation, ethics, data integrity, and patient safety
  • Public Health: Epidemiology, disease prevention, community interventions
  • Medical Education: Novel teaching methods, competency-based education, assessment
  • AI & Technology: Machine learning, multiomics, diagnostic/prognostic algorithms
  • Maternal & Child Health: Pregnancy outcomes, pediatric care, nutrition
  • Cancer Genetics: Genetic basis of cancers, personalized medicine, molecular diagnostics

Dry Lab Capabilities

Maternal & Child Health
0
Non-Communicable Diseases
0
Cancer & Vascular
0
Virology
0
In Progress & Pipeline
0
  • 15+ Deployed Web Applications | Multiple Publications | 95% Accuracy Achieved*

Maternal & Child Health - 5 Projects

  • GDM Prediction
  • High-Risk Pregnancy
  • Menstrual Cycle
  • PCOS
  • Postpartum Depression
  • Malnutrition
  • Down Syndrome

Non-Communicable Diseases

  • Kidney Stone
  • Diabetic Foot (Bio)
  • Diabetic Foot (Thermal)
  • Diabetic Foot Ulcers
  • Hearing Loss
  • Diabetic Nephropathy
  • Stroke Prediction
  • COPD
  • Non Alcoholic Fatty Liver Disease
  • Meningioma Prediction

Cancer & Vascular AI

  • Breast Cancer (Clinical)
  • Lung Cancer (CT Images)
  • Lung Cancer (NLP Survey)
  • olorectal Histopathology
  • Breast Cancer (Clinical)
  • Liver Tumor (3D U-Net)
  • Abdominal Aortic Aneurysm

COVID-19 Virology - AI-Genomics-Public Health Integration

  • Mutation Prediction
  • Epi Forecasting
  • Mortality Risk
  • Vaccination Effect
  • Policy Impact
  • Genomic-Clinical
  • Hospital Preparedness Admissions /beds availability

Machine Learning Algorithm Based Applications

  1. 01 Gestational diabetes & High Risk pregnancy prediction apps – my-gdm.streamlit.app | high-risk-pregnancy-prediction.streamlit.app
  2. 02 Image based Malnutrition detection in under 5 children – malnutrition-detector.streamlit.app | version-2
  3. 03 Kidney stone prediction – kidney-stone-prediction.streamlit.app
  4. 04 Breast cancer prognosis prediction – breast-cancer-prediction-application.streamlit.app
  5. 05 Diabetic foot risk prediction – df-prediction.streamlit.app

Research Output 2025

  • 124 Total Publications in 2025
  • 40% Q1 & Q2 Journals High Impact
  • 11 Lancet Publications Premium Research

UG & PG Grants Statistics

  • 2025 – PG Thesis support – ICMR   Applied: 36 | Accepted: 8
  • 2023 – ICMR STS   Applied: 17 | Accepted: 2
  • 2023 – UGSRS   Applied: 24 | Accepted: 6
  • 2024 – ICMR STS   Applied: 45 | Accepted: 11
  • 2024 – UGSRS   Applied: 27 | Accepted: 8
  • 2025 – ICMR STS   Applied: 55 | Accepted: 4
  • 2025 – UGSRS   Applied: 25 | Accepted: 6

Capacity Building Activities

  • Workshops for Faculty & PG students on research methodology
  • Manuscript writing workshops (using AI-assisted tools)
  • Grant writing training sessions using AI
  • UG training programs in bioinformatics and ML
  • Inter-departmental research collaboration facilitation
  • Ethics in clinical research training

Funding Secured

Grants & Infrastructure Funding | Academic Year 2025 | CRL AIMSR Chittoor

  1. ₹10 Lakh – ARA (Dr. Usha Adiga)
    Apollo Research Academy — Infrastructure funding for ML Workstation and research equipment.
  2. ₹3.1 Lakhs – Matching Grant (Dr. Usha Adiga)
    Dr. H. Vinod Bhat, Vice Chancellor — Stereo Microscope and BOD Incubator supporting molecular biology and environmental research.
  3. ₹2 Lakhs – MRHRU, ICMR (Dr. Usha Adiga)
    Machine Learning Based Prediction Model for Pre-eclampsia: An Implementation Research Proposal.
  4. ₹93 Lakh – ICMR (Dr. Usha Adiga)
    NAFLD project – Developing liquid biopsy panel.
  5. Infrastructure – Karyotyping Laboratory (Dr. Usha ICMR Funds)
    Cytogenetics facility — Karyotyping Lab established under Dr. Jeevan to support chromosomal and prenatal diagnostics.
  6. ₹1.75 Lakhs – ANRF, Govt. of India (Dr. Usha Adiga)
    CONNECTOMICS 2025: A National Conference organized by AIMSR Chittoor — Bridging Medicine and Bytes (July 2025).
  7. Collaborative Funding – TANUH / IISc
    Collaborative project funding through partnerships with TANUH, IISc Bangalore for AI-driven diagnostics.

Current Collaborations

  • Apollo Total Health
  • TANUH an AI Centre of Excellence / IISc, Bengaluru
  • IIT Tirupathi
  • IISER Tirupathi
  • Manipal College of Health Professions, Manipal

Core Members

Dr. Alfred J Augustine Dean, AIMSR Chittoor | Advisor
Dr. Usha Adiga Associate Dean Research & Prof/HOD, Dept. of Biochemistry
Director — Research, The Apollo University
Dr. Sampara Vasishta Senior Resident, Dept. of Biochemistry
Scientific Officer
Ms. Sireesha Research Assistant – ICMR Project
ML Engineer
Ms. Sharitha Technician

Contributors & Support

Karyotype Lab Supported by Dr. Jeevan, Dept. of BMS, TAU
Workshops Supported by Dr. Ravikanth
Capacity Building Workshops Supported by FRF
Connectomics Dr. Sachilananda Adiga
Prof. & HoD, Dept. of Pharmacology, AIMSR Chittoor
Department of Biochemistry Dr. Anil Kishore B (Prof) · Dr. Anulya (SR) · Dr. Farzia (SR)
Mrs. Supriya (Tutor) · Mrs. Reddemma (Tutor) · Dr. Venkata Ramesh B (Asst. Prof)
Technical Staff, Dept. of Biochemistry Mrs. Supriya · Mr. Chaitanya
Research Operations Finance Dept. | Transport | F&B | Maintenance Dept. | IT Dept. | Purchase Dept. – AIMSR Chittoor

CRL AIMSR Chittoor  ·  Academic Year 2025