Biopsy is defined as a procedure of removing or extracting tissue from the body through various methods, such as surgical, needle, laparoscopic techniques.

The global virtual biopsy market, valued at USD 0.73 billion in 2024, is projected to reach USD 0.78 billion in 2025 and USD 3.02 billion by 2035, representing a CAGR of 14.47% during the forecast period.

This procedure plays a crucial role in the diagnosis or monitoring of certain medical conditions such as inflammatory disorders, immune disorders, oncological conditions, and several infections. By analyzing the cellular composition of the extracted tissue, healthcare experts can gain detailed insights into the patient's condition. Despite its diagnostic importance, biopsy is an invasive technique which can cause pain, discomfort and may lead to severe complications, such as bleeding and infections. To mitigate these issues, advancements in medical technology have led to the development of less invasive techniques, such as virtual biopsy.

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Virtual biopsy is a non-invasive imaging technique that uses artificial intelligence (AI) to create a 3D image of tissue cells from medical scans. This technique is usually done by combining the medical images acquired via different imaging techniques such as computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound scans, with AI. These images are further used as reference to detect any anomaly in the sample tissue without any incisions or surgeries. This allows physicians to visualize and characterize any tissue safely, and to take informed and data-driven decisions for further treatment planning. Thus, these aforementioned advantages lead to significant growth of virtual biopsy market during the forecast period.

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Steps involved in performing virtual biopsy

1. Acquisition of Data: The first step involves the collection of high-quality annotated images, clinical, pathological, and molecular data from various imaging techniques.

2. Data Harmonization: After data collection, it undergoes data harmonization which involves several techniques, including filtering, normalization, and segmentation, to isolate specific areas of interest within the images.

3. Division of Data: The harmonized data is then segregated and categorized for three primary purposes, namely training, testing and validation of virtual biopsy technique.

4. Region of Interests (ROI) Segmentation: The preprocessed data undergoes ROI segmentation, where specific target areas within the images are characterized and marked. This step allows the differentiation of areas of interest from surrounding tissues.

5. Extraction and Selection of Image Features: In this step, various features from the segmented images are extracted for quantification. This includes feature extraction (FE) which focuses on quantifying these attributes and feature selection (FS) which identifies the most relevant features that contribute to the task at hand.

6. Validation of Model: The final step involves validating the developed model to ensure its accuracy and reliability. This is achieved by comparing the model's ability to characterize patient samples with the results obtained from conventional biopsy methods.

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Future perspective of virtual biopsy
In recent years, the domain of virtual biopsy has witnessed several advancements. This progress is primarily attributed to an increased research and development aimed at creating more robust models for quantifying and analyzing virtual biopsy data. These improvements facilitate more efficient diagnosis and prognosis of diseases within the healthcare sector. In addition to model development and validation, there is a critical need for the collection of large datasets, comprehensive annotation and the expansion of storage capacities to accommodate high-quality, high-depth images. Such measures are essential for models to accurately reference datasets, enabling them to identify patterns and analyze the intricacies of cellular and subcellular compositions across various tissues. Researchers in this domain are also prioritizing the implementation of advanced image acquisition techniques to enhance the quality of image datasets, thereby revolutionizing virtual biopsy applications in healthcare. With growing interest from researchers and the rapid integration of imaging technology, the development of more robust databases for quantification will increase stakeholders reliability in this technique. These advancements are expected to introduce more sophisticated and effective virtual biopsy techniques to the market, transforming the healthcare sector.

Research objectives:
1. The Virtual Biopsy Market report studies the worldwide market consumption rate in terms of value and volume.
2. It identifies the various sub-segments of the market structure.
3. It proffers information regarding the leading global manufacturers in this industry, describing their market value & share, sales volume, competitive analysis, SWOT analysis, and development strategies adopted during the forecast timeline.
4. The report describes the key industry players, with respect to their individual growth trends, future prospects, and contribution to the global market, and explains the factors related to their market growth potential, drivers, opportunities, threats, and industry-specific challenges.
5. Furthermore, the report underpins the strategic developments occurring in the global market, such as expansions, mergers & acquisitions, agreements, as well as new product launches.

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