Sub track:-
Enhanced Image Quality Quantitative Analysis, Faster Turnaround Times,...
Sub track:-
Integration of Imaging Modalities, Advanced Image...
sub track:-
Enhanced Molecular Profiling, Targeted
Therapy Selection, Predictive and Prognostic Analytics, Integration with
Electronic Health Records (EHR), Real-Time Monitoring and Adaptive Treatment, Telepath
ology and Global Collaboration, Clinical Trials and Research, Customized
Treatment Plans, DigitalPathology, Personalized Medicine, PrecisionMedicine,
Pathology Innovation, Medical Imaging, AIinHealthcare, HealthcareTech,
Biomedical Engineering, Molecular Pathology, Genomic Medicine, Telepath ology,
Clinical Research, Patient Care, Healthcare, Oncology Research
Digital pathology refers to the use of digital technology to
capture, analyse, and manage pathology data, primarily through the digitization
of traditional glass slides. Personalized medicine and precision medicine are
approaches that tailor medical treatment to the individual characteristics of
each patient, often based on genetic, molecular, and cellular analysis. A
digital pathology lab uses digital histology slides for routine diagnosis, and
these digital slides are stored in a server, local or cloud-based, where they
can be accessed by anyone with the adequate credentials, and from any location,
much like radiologists have been doing for decades.
1. Personalized Medicine
Personalized medicine aims to tailor medical treatment
and interventions to individual patient characteristics, including genetic,
genomic, and clinical data. Digital pathology enhances this approach in several
ways:
a.
Biomarker Identification and Quantification
High-Resolution Imaging: Digital pathology allows for
detailed examination of tissue samples, enabling the identification and
quantification of biomarkers relevant to specific diseases or conditions.
Biomarker Panels: Advanced imaging and analysis tools can
evaluate multiple biomarkers simultaneously, facilitating the identification of
personalized therapeutic targets.
b.
Integration with Genomic Data
Comprehensive Profiles: Combining digital pathology with genomic data provides a holistic
view of a patient’s disease profile, aiding in understanding tumor genetics and
identifying tailored treatment options.
Omics Integration: Integration with transcriptomic,
proteomic, and other omics data enhances the ability to develop personalized
treatment strategies based on a complete view of the disease.
c. Tailored
Treatment Plans
Precision Diagnosis:
Digital imaging improves diagnostic accuracy, leading to more precise and
effective treatment plans based on individual patient profiles.
Customized Therapies: Understanding specific disease
characteristics through digital pathology helps in selecting therapies that are
more likely to be effective for each patient.