Precision diagnostics focuses on identifying diseases with unparalleled accuracy by analyzing genetic, molecular, and biomarker-based information unique to each individual. Using tools such as genomic sequencing, liquid biopsy, proteomics, metabolomics, and AI-enabled pattern detection, clinicians can detect diseases earlier, classify subtypes more effectively, and predict therapeutic responses. This approach moves beyond traditional diagnostic methods by revealing underlying molecular mechanisms that guide targeted interventions. Precision diagnostics plays a transformative role in oncology, infectious diseases, cardiovascular medicine, and rare disorder detection. It also supports risk stratification, enabling clinicians to anticipate complications and personalize monitoring strategies.
| Stage 1 |
Initial Quality & Plagiarism Check The manuscript is reviewed for journal scope, basic submission requirements, ethical compliance, and similarity/plagiarism concerns. |
| Stage 2 |
Editorial Assessment & Peer Review Manuscripts that pass the initial screening undergo editorial assessment and independent peer review in accordance with the journal's peer-review policy. |
| Stage 3 |
Revision & Editorial Decision Authors may be requested to revise their manuscript based on reviewer and editor comments. A final editorial decision is made after the required review and revision stages are completed. |
| Stage 4 |
Production & Publication Accepted manuscripts proceed to production, author proofing, final quality checks, and online publication. |
| English | Publication Language |
| Single-Blind | Peer-Review Model |
| 17% | Acceptance Rate |
| <18% | Similarity Screening Guideline |
| Open Access | Access Model |
All manuscripts undergo editorial assessment and originality screening as part of the journal's evaluation process. The acceptance rate shown is based on journal-level editorial data and may change over time. Similarity reports are assessed editorially and are not interpreted solely on the basis of a numerical similarity score.