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Biomedical Publication Projects | NTHRYS | Industry Oriented

Biomedical publication projects help you turn research into publishable papers—study design, data analysis, writing, figures, journal selection, and submission support—so your work meets ethical, statistical, and reporting standards.

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Biomedical Publication Projects

Biomedical publication projects help you turn research into publishable papers—study design, data analysis, writing, figures, journal selection, and submission support—so your work meets ethical, statistical, and reporting standards.

Choose your interested focused area and tap WhatsApp Chat to start a conversation. Our team will guide you through the joining process, fees, timelines, and the documents needed for enrollment.
Focused Areas
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    Oncology & Cancer Biology

  1. Pan-cancer biomarker discovery using multi-omics integration
  2. Tumor microenvironment deconvolution from bulk RNA-seq
  3. Single-cell atlas of immune states for a chosen cancer
  4. ctDNA minimal residual disease (MRD) detection model design
  5. Neoantigen prediction and immunogenicity ranking pipeline
  6. Copy-number instability scoring and prognosis association study
  7. DNA methylation signatures for early cancer detection
  8. Cancer stemness index modeling and therapy response linkage
  9. Driver pathway analysis for targeted therapy hypotheses
  10. Spatial transcriptomics workflow for tumor–stroma interfaces
  11. Radiogenomics: linking imaging features to molecular subtypes
  12. Liquid biopsy miRNA panel selection with nested cross-validation
  13. Drug synergy prediction for combination therapy design
  14. CRISPR essentiality integration for target prioritization
  15. Mutational signature analysis for etiology inference
  16. HRD scoring and PARP-inhibitor response modeling
  17. Immune checkpoint response predictors with calibration analysis
  18. Organoid assay QC framework for translational screening
  19. Metastasis network modeling and inhibitor shortlisting
  20. Fusion gene discovery and validation plan

    21. Clinical Genomics & Precision Diagnostics

  21. Clinical-grade variant calling and annotation pipeline (research-use)
  22. ACMG-style variant interpretation automation (research-use)
  23. Rare disease phenotype-to-gene prioritization workflow
  24. Copy-number variation (CNV) detection from WES/WGS
  25. Structural variant detection and reporting framework
  26. Trio analysis for de novo variant discovery
  27. Mitochondrial variant analysis and heteroplasmy reporting
  28. Pharmacogenomics panel curation and genotype–phenotype mapping
  29. Hereditary cancer panel design and validation checklist
  30. Somatic tumor-only variant calling and filtering SOP
  31. Microsatellite instability (MSI) scoring workflow
  32. Tumor mutational burden (TMB) pipeline and harmonization checks
  33. HRD score computation and quality controls
  34. Liquid biopsy targeted panel design (amplicon/capture) plan
  35. Variant reclassification monitoring logic (research governance)
  36. De-identified clinical report template + evidence grading rubric
  37. Assay LOD/LOQ planning for ddPCR/qPCR diagnostic prototypes
  38. Contamination and sample-swap detection using SNP fingerprints
  39. Batch effect detection for clinical sequencing runs
  40. Family segregation analysis and penetrance modeling

    41. Single-Cell & Spatial Omics

  41. scRNA-seq QC, doublet removal, and integration benchmark
  42. Cell-type annotation using reference mapping + marker validation
  43. Differential state analysis across conditions with confounder control
  44. Trajectory inference for differentiation or activation programs
  45. Cell–cell communication inference using ligand–receptor methods
  46. scATAC-seq peak calling and gene activity scoring workflow
  47. Multiome (RNA+ATAC) integration and regulatory network inference
  48. Spatial transcriptomics segmentation and spot deconvolution pipeline
  49. Spatially resolved immune infiltration scoring
  50. Cell neighborhood analysis and microenvironment zoning
  51. Batch correction comparison study (Harmony vs Seurat vs Scanpy)
  52. Cell cycle regression impact assessment on clustering outcomes
  53. Rare cell state detection and validation strategy
  54. Reference atlas construction for a chosen tissue
  55. Cross-cohort integration across platforms and protocols
  56. scRNA-seq data imputation benchmarking (with metrics)
  57. Pseudobulk differential expression vs cell-level DE comparison
  58. Gene regulatory network inference from scRNA-seq (SCENIC-style)
  59. Spatial pathway activity mapping and heatmaps
  60. Single-cell signature transfer to bulk cohorts for stratification

    61. Infectious Diseases & Clinical Microbiology

  61. AMR gene detection from WGS with phenotype concordance analysis
  62. Outbreak cluster inference using SNP distances and timelines
  63. Phylogenomic pipeline for hospital surveillance isolates
  64. Metagenomic pathogen detection pipeline (research-use)
  65. Viral genome assembly and lineage assignment workflow
  66. Within-host viral diversity analysis (iSNV tracking)
  67. Transmission chain reconstruction using genomics + metadata
  68. qPCR primer/probe design and in-silico specificity checks
  69. Serology data analysis: neutralization titers and correlates
  70. Host transcriptomic signatures distinguishing viral vs bacterial
  71. Pathogen load modeling across timepoints and outcomes
  72. Sepsis biomarker signature development from public cohorts
  73. Microbial virulence factor profiling and risk scoring
  74. Plasmid reconstruction and AMR mobility analysis
  75. Strain-level metagenomics for gut colonization tracking
  76. Infection-control intervention impact evaluation (before/after)
  77. TB resistance mutation cataloging and decision rules (research)
  78. Fungal pathogen genomics and antifungal resistance mapping
  79. Microbiome–infection susceptibility association study
  80. Clinical isolate QC: contamination, mixed infection detection

    81. Cardio-Metabolic & Endocrine Health

  81. Risk prediction model for diabetes onset using clinical + lab data
  82. Metabolic syndrome clustering and subtype discovery
  83. NAFLD/NASH transcriptomic signature discovery and validation
  84. Atherosclerosis pathway enrichment and key driver analysis
  85. Polygenic risk score construction and calibration (research)
  86. HbA1c trajectory modeling and complication prediction
  87. Hypertension medication response modeling (observational)
  88. Lipidomics signature exploration for CVD outcomes
  89. Obesity microbiome associations with confounder correction
  90. Metformin response biomarker modeling (cohort-based)
  91. Cardiac imaging feature extraction and outcome linkage (research)
  92. Heart failure readmission prediction from EHR time series
  93. Renal function decline modeling in diabetic cohorts
  94. Inflammation markers and cardio-metabolic risk mediation analysis
  95. Glycemic variability metrics and hospitalization outcomes
  96. Thyroid function patterns and cardiovascular endpoints study
  97. PCOS phenotyping using labs + symptoms + ML clustering
  98. Drug safety signal detection for statins using observational data
  99. Diet intervention effects meta-analysis with subgroup modeling
  100. Biomarker panel for early CVD risk (research validation)

    101. Neurology & Psychiatry

  101. Alzheimer’s multi-omics signature integration and staging models
  102. Parkinson’s pathway network analysis and target hypotheses
  103. Epilepsy gene panel curation and evidence mapping
  104. Neuroinflammation transcriptomic signatures across disorders
  105. Depression biomarker modeling using proteomics/transcriptomics
  106. Schizophrenia GWAS-to-gene prioritization workflow
  107. Autism rare variant enrichment and pathway analysis
  108. Brain imaging feature extraction (MRI) and cognition prediction
  109. Sleep pattern modeling from wearable data and symptom links
  110. Stroke outcome prediction using clinical + imaging covariates
  111. CSF biomarker panel validation plan (research-grade)
  112. Neurodegeneration subtype discovery using clustering on omics
  113. Seizure forecasting from EEG feature engineering (research)
  114. Medication adherence prediction using EHR patterns
  115. Suicide risk model evaluation: calibration and fairness checks
  116. Genetic correlation and pleiotropy analysis across traits
  117. Microbiome–gut–brain axis association study (confounder-aware)
  118. Drug repurposing network analysis for neurodegenerative diseases
  119. Longitudinal symptom trajectory modeling for bipolar disorder
  120. Digital phenotyping: smartphone sensor features and mood states

    121. Immunology & Autoimmune Diseases

  121. Autoimmune disease subtype discovery using transcriptomics
  122. Immune repertoire (TCR/BCR) diversity analysis and clonality metrics
  123. Antigen-specific T cell signature modeling from scRNA/TCR
  124. Cytokine panel selection and validation framework (research)
  125. HLA association analysis and fine-mapping workflow
  126. Immune checkpoint gene networks in autoimmunity
  127. Interferon signature quantification and clinical correlation
  128. Cell-state shifts in lupus using single-cell datasets
  129. Rheumatoid arthritis synovial scRNA-seq cell atlas analysis
  130. Multiple sclerosis lesion transcriptomic signature study
  131. Vaccine response predictors from baseline immune profiles
  132. Immune aging (immunosenescence) score development
  133. Allergy sensitization molecular signature discovery
  134. Immune adverse event prediction for immunotherapy (research)
  135. Complement pathway dysregulation modeling in autoimmunity
  136. Autoantibody signature clustering and disease phenotyping
  137. Single-cell ligand–receptor networks in inflamed tissues
  138. Immune cell deconvolution benchmarking across methods
  139. Immunometabolism pathway analysis in chronic inflammation
  140. Immune risk score calibration and external validation

    141. Pharmacology, Drug Discovery & Repurposing

  141. Connectivity mapping for drug repurposing using disease signatures
  142. Network pharmacology target–pathway–drug triad scoring
  143. Virtual screening workflow with docking + consensus scoring
  144. ADMET filtering pipeline and candidate prioritization rubric
  145. Polypharmacology modeling for multi-target drug design
  146. Drug–drug interaction prediction using graph ML (research)
  147. Mechanism-of-action classification from transcriptomic perturbations
  148. Off-target risk mapping using protein networks and alerts
  149. Drug synergy prediction using cell line screening data
  150. PK/PD model template for dose-response interpretation (research)
  151. Target tractability scoring with structural + literature evidence
  152. Clinical trial endpoint ontology mapping for repurposing searches
  153. Real-world evidence cohort emulation for drug effectiveness (research)
  154. Adverse event signal detection from pharmacovigilance datasets
  155. Formulation decision support using physicochemical property models
  156. Drug resistance modeling using longitudinal omics profiles
  157. Protein–ligand interaction feature learning with deep learning (research)
  158. Multi-task ML for predicting bioactivity across targets (research)
  159. Knowledge graph for drug repurposing with evidence weights
  160. Systematic review + meta-analysis automation for drug candidates

    161. Regenerative Medicine & Stem Cells

  161. Stem cell differentiation QC marker panel design
  162. Potency scoring framework for cell therapy batches
  163. Batch effect control for multi-batch differentiation experiments
  164. Single-cell QC of stem-cell derived products (state purity)
  165. Organoid maturation staging and signature development
  166. Scaffold biomaterial selection decision matrix for tissue engineering
  167. iPSC reprogramming efficiency predictors (metadata-driven)
  168. Gene editing QC checklist for cell therapy products (research)
  169. Longitudinal differentiation trajectory modeling (omics-based)
  170. Cell identity authentication pipeline (SNP + expression)
  171. Mycoplasma/contamination risk governance SOP set (research lab)
  172. Release criteria template for non-clinical cell products
  173. Mesenchymal stem cell immunomodulatory signature analysis
  174. Cardiomyocyte differentiation metrics and functional correlations
  175. Neuronal differentiation electrophysiology data analysis plan
  176. 3D bioprinting parameter optimization experiment matrix
  177. Organoid drug screening QC and hit definition SOP
  178. HLA matching strategy primer for allogeneic products (research)
  179. Stability studies design for cell product storage conditions
  180. Reproducibility pack design for regenerative medicine manuscripts

    181. Digital Health, EHR Analytics & Clinical AI

  181. Sepsis early warning model with calibration + drift checks
  182. ICU deterioration prediction using time-series vitals/labs
  183. Readmission risk modeling and subgroup performance audit
  184. Medication error prediction using order patterns (research)
  185. Clinical note NLP for phenotype extraction and validation
  186. Lab result outlier detection and alert triage workflow
  187. Length-of-stay prediction with interpretable models
  188. Bias/fairness audit for a clinical AI model
  189. Model monitoring dashboard design for hospital deployment (research)
  190. Phenotyping via ICD + labs + meds: rules vs ML comparison
  191. Cohort discovery tool using embeddings (privacy-aware)
  192. Adverse drug event detection from notes + structured data
  193. Clinical pathway mining from sequences of care events
  194. Federated learning protocol design for multi-hospital studies
  195. De-identification pipeline evaluation for clinical text
  196. Wearable-derived feature engineering for arrhythmia prediction (research)
  197. Symptom monitoring app analytics and adherence modeling
  198. Clinical trial matching using NLP on eligibility criteria (research)
  199. Explainability study: SHAP vs counterfactuals for EHR models
  200. Outcome definition and label quality audit for EHR studies