Evidence map›Paper›PMID 42220710›Full record

ReviewCureus2026

Biochemical and Biotechnological Approaches to Disease Diagnosis and Therapeutics: A Comprehensive Review.

Pallavi Kadwe, Lipika Jena, Diptimayee Jena, Yugantar Wakde, Sadhana Kakaso Pawar, Deeptak Biswas

Abstract readReview
In one paragraph

Review in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Pallavi KadweDepartment of Biochemistry, N.K.P. Salve Institute of Medical Sciences and Research Center, Lata Mangeshkar Hospital, Nagpur, IND.
Lipika JenaDepartment of Microbiology, Institute of Medical Sciences and Sum Hospital, Bhubaneswar, IND.
Diptimayee JenaDepartment of Biochemistry, Maharaja Krushna Chandra Gajapati Medical College and Hospital, Berhampur, Berhampur, IND.
Yugantar WakdeDepartment of Biochemistry, Shri Rawatpura Sarkar Institute of Medical Sciences and Research, Naya Raipur, IND.
Sadhana Kakaso PawarDepartment of Biochemistry, Department of Biochemistry, Bharati Vidyapeeth Deemed to be University Dental College and Hospital, Pune, IND.
Deeptak BiswasDepartment of Microbiology, Kalyani Mahavidyalaya, University of Kalyani, Nadia, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in biochemical and biotechnological sciences have transformed modern medical practice, enabling earlier disease detection and more precise therapeutic interventions. The increasing complexity of oncological, infectious, metabolic, and degenerative diseases necessitates diagnostic and therapeutic systems capable of accurately interpreting subtle molecular variations. This review synthesises key innovations in biochemical diagnostics and biotechnology-driven therapeutics, highlighting their clinical relevance and contribution to precision medicine. Recent advancements have significantly improved early disease identification, molecular characterisation, and targeted treatment strategies. These approaches enable minimally invasive monitoring, enhance diagnostic accuracy, and support personalised clinical decision-making across diverse disease conditions. Overall, biochemical and biotechnological innovations are central to advancing precision medicine, and continued validation, optimisation, and integration into healthcare systems will be essential for improving clinical outcomes and sustaining long-term progress.

Indexed as

bioinformaticsbiotechnologydiagnosticsprecision medicinetherapeutics

Identifiers

PMID42220710
PMCPMC13217519

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.