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18 June 2025
Early Access
https://doi.org/10.4081/itjm.2025.1932

The future of diagnostics: cutting-edge advances in healthcare technology

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Personalized medicine, precision diagnostics, digital biomarkers, artificial intelligence, point-of-care testing, liquid biopsies
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Authors

Ashok Kumar Sah
https://orcid.org/0000-0002-7762-4351
Department of Medical Laboratory Sciences, College of Applied and Health Sciences, A’ Sharqiyah University, Ibra, Oman.
Darla Srinivasa Rao
https://orcid.org/0000-0002-7366-2529
Department of Medical Laboratory Technology, School of Allied Health Sciences, Galgotias University, Greater Noida, Uttar Pradesh, India.
Anass M Abbas
https://orcid.org/0000-0003-1566-7257
Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Jouf University, Saudi Arabia.
M Chandrasekar
Department of Medical Laboratory Technology, School of Allied Health Sciences, Galgotias University, Greater Noida, Uttar Pradesh, India.
Mohamed Ahmed Mohamed Adam
Department of Emergency Medicine, Trauma and Orthopedic, Prince Mutaib bin Abdulaziz Hospital, Ministry of Health, Aljouf, Saudi Arabia.
Ajab Singh Choudhary
https://orcid.org/0000-0002-2338-9106
Department of Medical Laboratory Technology, School of Allied Health Sciences, Noida International University, Greater Noida, Uttar Pradesh, India.
Ranjay Kumar Choudhary
Department of Medical Laboratory Technology, Amity Medical School, Amity University Haryana, Gurugram, Haryana, India.
Rabab H. Elshaikh
https://orcid.org/0000-0003-0973-8661
Department of Medical Laboratory Sciences, College of Applied and Health Sciences, A’ Sharqiyah University, Ibra, Oman.
Pranav Kumar Prabhakar
https://orcid.org/0000-0001-8130-1822
Parul Institute of Applied Sciences and Research and Development Cell, Parul University, Gujarat, Vadodara, India.
Syrsulu Myrzagulova
Department of Pathological Physiology, Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan.
Rohit Rathore
https://orcid.org/0000-0003-1331-3332
Department of Physiotherapy, School of Allied Health Sciences, Noida International University, Greater Noida, Uttar Pradesh, India.
Asaad M. Babker
Department of Medical Laboratory Sciences, College of Health Sciences, Gulf Medical University, Ajman, United Arab Emirates.
Devendra Prasad
Patna Institute of Nursing and Paramedical Science, Brahampur, Patna; All India Medical Laboratory Technologist, Fraser Road, Patna, India.
Shagun Agarwal
shagunmpt@gmail.com
https://orcid.org/0000-0003-4265-2958
School of Allied Health Sciences, Galgotias University, Greater Noida, Uttar Pradesh, India.

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're 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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The future of diagnostics: cutting-edge advances in healthcare technology. (2025). Italian Journal of Medicine. https://doi.org/10.4081/itjm.2025.1932
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