The future of diagnostics: cutting-edge advances in healthcare technology Article Swipe
Ashok Kumar Sah
,
Darla Srinivasarao
,
Anass M. Abbas
,
M Chandrasekar
,
Mohamed A. Adam
,
Ajab Singh Choudhary
,
Ranjay Kumar Choudhary
,
Rabab H. Elshaikh
,
Pranav Kumar Prabhakar
,
Syrsulu Myrzagulova
,
Rohit Rathore
,
Asaad Babker
,
Devendra Prasad
,
Shagun Agarwal
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.4081/itjm.2025.1932
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.4081/itjm.2025.1932
Rapid breakthroughs in diagnostic technology are driving a transformation in the healthcare scene. These advancements are ushering in a new era of personalized and precision medicine, with early detection, tailored drugs, and continuous monitoring as the foundations of healthcare delivery. Emerging technologies, such as digital biomarkers, artificial intelligence, and the quantified-self movement, alter established diagnostic methods. This review looks at cutting-edge diagnostic tool advancements, how they are being integrated into the drug development workflow, and how they could improve patient outcomes and lower healthcare costs. The COVID-19 pandemic has acted as a catalyst, hastening the implementation of several diagnostic methods for quickly identifying and monitoring infectious diseases. Likewise, the incorporation of robotic sample handling, data analytics, and artificial intelligence has increased the efficiency and accuracy of diagnostic systems across a wide range of medical professions. In addition, the convergence of diagnostics and therapeutics, known as companion diagnostics, has changed the drug development process by allowing for customized treatment selection and monitoring of responses. Looking ahead, the future of diagnostics promises a more comprehensive, patient-centered approach, with real-time data from wearable devices, genomic profiles, and digital biomarkers informing clinical decision-making. Key developments in point-of-care diagnostics, nanobiosensors, and liquid biopsies have the potential to transform early illness identification and management. Using these cutting-edge diagnostic tools, healthcare systems can seek to provide more effective, efficient, and equitable care, thereby improving patient outcomes and minimizing the load on the healthcare system.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.4081/itjm.2025.1932
- https://www.italjmed.org/ijm/article/download/1932/1865
- OA Status
- diamond
- References
- 19
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411431634
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4411431634Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.4081/itjm.2025.1932Digital Object Identifier
- Title
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The future of diagnostics: cutting-edge advances in healthcare technologyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-06-18Full publication date if available
- Authors
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Ashok Kumar Sah, Darla Srinivasarao, Anass M. Abbas, M Chandrasekar, Mohamed A. Adam, Ajab Singh Choudhary, Ranjay Kumar Choudhary, Rabab H. Elshaikh, Pranav Kumar Prabhakar, Syrsulu Myrzagulova, Rohit Rathore, Asaad Babker, Devendra Prasad, Shagun AgarwalList of authors in order
- Landing page
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https://doi.org/10.4081/itjm.2025.1932Publisher landing page
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https://www.italjmed.org/ijm/article/download/1932/1865Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://www.italjmed.org/ijm/article/download/1932/1865Direct OA link when available
- Concepts
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Health care, Precision medicine, Workflow, Medicine, Analytics, Identification (biology), Wearable computer, Molecular diagnostics, Healthcare system, Data science, Risk analysis (engineering), Computer science, Pathology, Bioinformatics, Biology, Botany, Economic growth, Database, Embedded system, EconomicsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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19Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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