JelloX Biotech Inc., a Taiwan-based startup focused on cancer pathology, is unveiling its vision for AI and 3D digital pathology to advance patient-centered care. The vision was first detailed publicly by Dr. Yen-Yin Lin, CEO of JelloX, during the August 2024 Annual Meeting of the Japanese Society of Digital Pathology. JelloX continues to distinguish itself as an early adopter of AI and 3D imaging applied to cancer pathology.
“Technological advancements and the recent surge in AI have reshaped the future of healthcare, enabling the extraction of valuable insights that will have real benefits for patients,” shared Dr. Lin. “3D pathology can offer at least 50 times more information than conventional 2D methods, providing pathologists with a more comprehensive understanding of a tumor’s biology. The power of such a diagnostic tool lies in its ability to help pathologists stratify and personalize, matching the right patients with the right treatment at the right time. This ultimately leads to better prognosis, quality of life, and more patient-centered care.”
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Improving patient-centered care with technology
JelloX has previously estimated that 40% of cancer patients can benefit from AI-analyzed 3D imaging for pathology by expanding feasibility of treatment options like immunotherapy. Due to the complexity of cancer and variability between cases, these technologies hold significant promise for oncology, particularly in addressing the challenge of limited information from conventional methods. With the increased sampling rate via 3D imaging analyzed by AI, pathologists have more actionable insights regarding the tumor, assisting them in making a wholistic diagnosis.
Patients who were previously excluded from immunotherapy due to undetected biomarker expressions, resulting from the limitations of current techniques, may now have a renewed opportunity. With its improved sensitivity, 3D pathology can not only identify cases previously classified as “false negatives” but also enable early cancer detection. This allows for earlier treatment initiation, leading to an improved quality of life for patients.
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For healthcare providers, this means matching the right patients to the right drugs at the right time. For patients, more precision for diagnosis, treatment, and timing means lowered risk of misdiagnosis, minimized patient costs, and better prognosis—ultimately to more patient-centered care and better quality of life.
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Source – prnewswire
