Beyond Diagnosis: AI’s Ongoing Role in Monitoring and Managing Cancer Patients at Apollo Precision Oncology Centre

Beyond Diagnosis: AI’s Ongoing Role in Monitoring and Managing Cancer Patients at Apollo Precision Oncology Centre

Apollo Cancer Centre has inaugurated India’s first AI-driven Precision Oncology Centre, which is set to bring together innovation and healthcare and set a precedent symbolising hope and advancement in cancer care for those battling cancer as well as their caregivers. AI-powered technologies can potentially play a monumental role in predicting treatment responses through continued monitoring, which can help improve patient outcomes radically.

AI in Cancer Detection & Diagnosis

A cancer diagnosis is a life-altering event that has significant health challenges along the way. Cancer diagnosis in India and globally has been on the rise exponentially. With the advancements in artificial intelligence (AI), a new research frontier has opened that has immense potential to change the trajectory of cancer care.

AI has shown tremendous potential in finding and diagnosing cancer, including medical imaging, biopsy analysis, and risk categorisation. With a combination of these tools, a critical impact on health outcomes can be made for successful oncologic care.

Medical Imaging

Medical imaging is one of the best applications of AI algorithms programmed to analyse medical images, such as X-rays, CT and MRI scans, mammograms, and colonoscopy images. AI-powered software can detect minute anomalies and potentially cancerous lesions that can elude human expertise. This leads to more precise detection and diagnosis.

Biopsy Analysis

As AI is assisting medical professionals attain accuracy in cancer detection and diagnosis, it may play a crucial role in helping pathologists with more detailed tissue sample analysis, which also aids in detection error reduction, thus reducing false negatives or false positives. Additionally, by rapidly and accurately classifying cells, identifying specific tumour markers, and determining the stage and spread of cancer, AI can help expedite diagnosis and enhance precision medicine in the future.

Risk Categorisation

Using AI, the risk of a person developing certain cancers can be determined more precisely through the integration of various data sources. Such AI-powered technologies can prove to be invaluable in helping to prevent cancer in the future. It can also help identify high-risk individuals who can benefit from targeted screening and prevent and detect cancer in its earlier stages.

AI in Precision Oncology Medicine & Treatment

AI can accomplish a lot in preventing and detecting cancer early and in developing targeted therapies, drug development, and individualised treatment planning.

Targeted Therapy

AI algorithms can identify unique molecular profiles and genetic mutations associated with specific types of cancers. These biomarkers play a pivotal role in detecting certain types of cancers. By analysing huge data sets from the public domain, AI can provide a personalised cancer treatment modality that matches the patient profile so that they are more likely to be effective. Such tailored treatments can help minimise risks and uncertainties from different cancer treatments, improving overall health outcomes.

Drug Development

AI speeds up the discovery process by quickly analysing massive datasets and selecting the best drugs for patients. This allows for a more prompt and targeted drug development process.

Individualised Treatment Planning

In individualised treatment planning, AI uses patient-specific data, such as information on medical histories, genetic profiles, etc., to improve treatment strategies and maximise the effectiveness of treatment.

Treatment Planning & Decision Making

AI systems at Apollo Precision Oncology Centre can assist oncologists in developing individualised treatment plans for cancer patients by integrating patient-specific data. Using deep learning-based prediction models or ML algorithms, oncologists can develop decision support systems for cancer patients, assess the probability of success for a specific treatment, and make more informed treatment decisions jointly with the patients.

In addition to clinical decision-making based on population data, AI can improve precision medicine in cancer care by analysing a patient’s cancer genome, assessing genetic profiling data or biomarkers, and reviewing histology or histopathology information.

AI in Oncology Monitoring, Prognosis, Survivorship & Quality of Life

Preventing cancer can be the primary goal of AI-driven precision technology. However, early detection and treatment are crucial to preventing cancer progression. In oncology, treatment planning, monitoring, prognosis, and palliative care are essential. With improved real-time monitoring systems, prognostic tools, and tools that address survivorship, oncologic care can be drastically improved, thereby effectively improving patients’ quality of life.

Real-time Patient Monitoring

AI-powered real-time monitoring systems have the potential to enable continuous monitoring of patients with cancer and extend the continuum of care. From analysing data from wearable devices to electronic health records, real-time patient monitoring provides a chance to detect treatment-related complications early on, predict disease progression, and also provide timely intervention tools.

AI in Prognostics

AI-driven prognostic models can use patient data to predict disease outcomes and survival rates. By synthesising different variables, AI algorithms have the potential to enhance the accuracy of prognostic assessments, which can help develop more personalised treatment plans and supportive care strategies in the future, which show promising results.

AI Aiding to Address Survivorship & Quality of Life

AI-based tools also have the potential to assist oncologists in addressing survivorship problems by providing personalised cancer care interventions to improve the quality of life for cancer patients and survivors. By analysing patient-reported outcomes along with data sets from the public domain, AI systems can help address the individual physical, emotional, and psychosocial needs of different cancer patients and survivors. This may aid oncologists and other specialists involved in providing comprehensive and patient-centric care as artificial intelligence and machine learning technology continue to advance towards more clinical settings.

AI in Treatment Management, Support and Post-treatment Monitoring

AI-powered technologies aid oncologists and other healthcare providers at Apollo Precision Oncology Centre in focusing on direct patient care and psychological support, critical technical decision-making, and clinical trials. This can aid in improving patient outcomes and a more efficient healthcare system. Oncologists and patients alike benefit from AI-driven technology that provides:

• Organisational management tools to save time on routine work
• Predictive analytic tools to analyse large quantities of patient data for disease categorisation, allowing for a more personalised and efficient treatment
• Surgical assistance tools for enhanced precision based on medical robotics.
• Real-time remote monitoring to improve patients’ health through regular monitoring by collecting patients’ health data and analysing them to make decisions regarding their care.
• Continued support applications can be utilised throughout the patient care pathway but are especially helpful during the monitoring period for ensuring a continuum of care.

Promising Oncology Care with Patient-centric Approach at Apollo Precision Oncology Centre

Apollo’s Precision Oncology Centre (POC) is India’s first AI-driven precision oncology treatment and care centre that advances Apollo’s goal to deliver excellent healthcare, encompassing oncologic patient care using the immense potential offered by artificial intelligence (AI) in precision medicine. Collaboration of the best oncologists in India with revolutionary AI-powered technologies, Apollo POC, has become a trailblazer, committed to providing exceptional oncologic treatment and care for patients with cancer with the apex level of expertise and compassion.