AI Article Synopsis

  • Digital twins (DTHs) and virtual twins (VTHs) in healthcare are innovative technologies aimed at enhancing precision medicine and patient-centered care, particularly in oncology.
  • A review of 441 studies identified 30 relevant papers focusing on various cancers, highlighting a mix of topics and approaches but also revealing concerns about reliability due to the use of synthetic or limited data.
  • The research points to significant technical and ethical challenges, such as data integration and privacy issues, and stresses the importance of collaboration between developers and healthcare providers to improve the credibility and clinical application of these technologies.

Article Abstract

Digital twins (DTHs) and virtual twins (VTHs) in healthcare represent emerging technologies towards precision medicine, providing opportunities for patient-centric healthcare. Our scoping review aimed to map the current DTH and VTH technologies in oncology, summarize their technical solutions, and assess their credibility. A systematic search was conducted in the main bibliographic databases, identifying 441 records, of which 30 were included. The studies covered a wide range of cancers, including breast, lung, colorectal, and gastrointestinal malignancies, with DTH and VTH applications focusing on diagnosis, therapy, and monitoring. The results revealed heterogeneity in targeted topics, technical approaches, and outcomes. Most twining solutions use synthetic or limited real-world data, raising concerns regarding their reliability. Few studies have integrated real-time data and machine learning for predictive modeling. Technical challenges include data integration, scalability, and ethical considerations, such as data privacy and security. Moreover, the evidence lacks sufficient clinical validation, with only partial credibility in most cases. Our findings underscore the need for multidisciplinary collaboration among end-users and developers to address the technical and ethical challenges of DTH and VTH systems. Although promising for the future of personalized oncology, substantial steps are required to move beyond experimental frameworks and to achieve clinical implementation.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11593079PMC
http://dx.doi.org/10.3390/cancers16223817DOI Listing

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Digital twins (DTHs) and virtual twins (VTHs) in healthcare represent emerging technologies towards precision medicine, providing opportunities for patient-centric healthcare. Our scoping review aimed to map the current DTH and VTH technologies in oncology, summarize their technical solutions, and assess their credibility. A systematic search was conducted in the main bibliographic databases, identifying 441 records, of which 30 were included.

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Int J Food Microbiol

October 2010

Departamento de Genética, Facultad de Biología, Universidad de Sevilla, Apartado 1095, E-41080, Sevilla, Spain.

HAP4 encodes a transcriptional activator of respiration-related genes and so, redirection from fermentation to respiration flux should give rise to an increase in biomass production in Saccharomyces cerevisiae transformants that overexpress HAP4. With this aim, three bakers' yeasts, that is, V1 used for lean doughs, its 2-deoxy-D-glucose resistant derivative DOG21, and V3 employed for sweet doughs, were transformed with integrative cassettes that carried HAP4 gene under the control of constitutive promoter pTEF2; in addition VTH, DTH and 3TH transformants were selected and characterized. Transformants showed increased expression of HAP4 and respiration-related genes such as QCR7 and QCR8 with regard to parental, and similar expression of SUC2 and MAL12; these genes are relevant in bakers' industry.

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