Vol. 14 No. 12 (2024): IJARAI: Vol.14, Issue 12, December 2024

Articles

• THE NEXT GENERATION OF COMPUTATIONAL ONCOLOGY: EXPLAINABLE, MULTIMODAL, AND FEDERATED ARTIFICIAL INTELLIGENCE

  Dr. Prakash Nambiar, Dr. Shweta Gupta, Dr. Imran Khan (Author)

  • Full Article

  34 24

• FOUNDATION MODELS FOR CANCER INTELLIGENCE: INTEGRATING RADIOLOGY, PATHOLOGY, MULTI-OMICS, AND CLINICAL DECISION SUPPORT

  Dr. Shruti Menon, Dr. Naveen Pillai, Dr. KeerthanaIyer (Author)

  • Full Article

  40 24

• MULTIMODAL DIGITAL BIOMARKERS IN ONCOLOGY: ARTIFICIAL INTELLIGENCE FOR EARLY DETECTION AND PERSONALIZED TREATMENT

  Dr. Nandita Roy, Dr. Praveen Nair (Author)

  • Full Article

  30 17

• NEXT-GENERATION AI IN ONCOLOGY: EXPLAINABLE FOUNDATION MODELS FOR PRECISION DIAGNOSIS, PROGNOSIS, AND TREATMENT OPTIMIZATION

  Dr. Ravi Chaturvedi (Author)

  • Full Article

  31 16

• INTELLIGENT DIGITAL TWINS IN ONCOLOGY: REAL-TIME VIRTUAL PATIENT MODELING FOR PERSONALIZED THERAPEUTIC DECISION-MAKING

  Dr. Farhan Siddiqui (Author)

  • Full Article

  32 26

• AI-AUGMENTED PRECISION THERAPEUTICS: FOUNDATION MODELS FOR BIOMARKER DISCOVERY AND PERSONALIZED CANCER TREATMENT

  Dr. Karthika Nair (Author)

  • Full Article

  25 22

• INTELLIGENT CANCER FOUNDATION MODELS: INTEGRATING MOLECULAR, IMAGING, AND CLINICAL INTELLIGENCE FOR PRECISION MEDICINE

  Dr. ChetanMehra (Author)

  • Full Article

  25 19

• CAUSAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY: ENHANCING EXPLAINABILITY AND CLINICAL DECISION-MAKING IN PRECISION MEDICINE

  Dr. Raghavendra Joshi (Author)

  • Full Article

  33 21

• CROSS-MODAL ARTIFICIAL INTELLIGENCE FOR PRECISION ONCOLOGY: BRIDGING RADIOLOGY, HISTOPATHOLOGY, GENOMICS, AND CLINICAL RECORDS

  Dr. Ritesh Kulkarni (Author)

  • Full Article

  27 22

• DIGITAL TWIN–ENABLED PRECISION ONCOLOGY: INTEGRATING LONGITUDINAL PATIENT DATA, MULTI-OMICS, AND ARTIFICIAL INTELLIGENCE

  Dr. Zubin Patel (Author)

  • Full Article

  44 30

• MULTIMODAL FOUNDATION MODELS FOR PREDICTIVE ONCOLOGY: UNIFYING RADIOMICS, PATHOMICS, GENOMICS, AND ELECTRONIC HEALTH RECORDS

  Dr. Ishaan Kapoor (Author)

  • Full Article

  31 19

• DIGITAL ONCOLOGY 5.0: THE CONVERGENCE OF ARTIFICIAL INTELLIGENCE, DIGITAL TWINS, AND PRECISION MEDICINE

  Dr. Rahul Joseph (Author)

  • Full Article

  31 19

• AI-DRIVEN PRECISION CANCER ECOSYSTEMS: FROM LIQUID BIOPSY AND RADIOMICS TO DIGITAL TWINS

  Dr. Lakshmi Krishnan (Author)

  • Full Article

  34 21

• SPATIAL OMICS AND FOUNDATION AI MODELS: DECODING TUMOR HETEROGENEITY FOR PRECISION ONCOLOGY

  Dr. Pritam Sen (Author)

  • Full Article

  27 17

• ADAPTIVE FOUNDATION MODELS IN ONCOLOGY: CONTINUOUS LEARNING FOR PERSONALIZED CANCER MANAGEMENT

  Dr. Aparna Ghosh (Author)

  • Full Article

  28 15

• TOWARDS GENERALIST ARTIFICIAL INTELLIGENCE IN ONCOLOGY: FOUNDATION MODELS FOR INTEGRATED CANCER DIAGNOSIS AND PERSONALIZED CARE

  Dr. Vivek Narayan (Author)

  • Full Article

  27 17

• ARTIFICIAL INTELLIGENCE–DRIVEN CLINICAL ONCOLOGY INTELLIGENCE: FROM EARLY CANCER DETECTION TO PRECISION THERAPEUTICS

  Dr. Charitha Naidu, Dr. Mohit Arora, Mrs. Padmini Shetty (Author)

  • Full Article

  26 22

• TOWARDS AN INTELLIGENT CANCER LEARNING HEALTH SYSTEM: FOUNDATION AI MODELS FOR ADAPTIVE AND PERSONALIZED ONCOLOGY

  Dr. Sandeep Menon, Dr. Roshan Thomas (Author)

  • Full Article

  30 18

• AUTONOMOUS ONCOLOGY SYSTEMS: FOUNDATION MODELS FOR REAL-TIME CLINICAL INTELLIGENCE AND PERSONALIZED CANCER CARE

  Dr. Akshay Jain (Author)

  • Full Article

  32 15

• INTELLIGENT CANCER DIGITAL TWINS: AI-DRIVEN VIRTUAL PATIENT MODELS FOR PREDICTIVE ONCOLOGY

  Dr. Kunal Mehta, Dr. Farah Ali (Author)

  • Full Article

  29 31

• ARTIFICIAL INTELLIGENCE–ENABLED TUMOR MICROENVIRONMENT MODELING: INTEGRATING SPATIAL BIOLOGY, MULTI-OMICS, AND DIGITAL TWINS

  Dr. Aditya Menon (Author)

  • Full Article

  33 31

• AUTONOMOUS PRECISION ONCOLOGY: THE CONVERGENCE OF FOUNDATION AI MODELS, DIGITAL TWINS, AND COMPUTATIONAL CANCER INTELLIGENCE

  Dr. Nirmal Raj (Author)

  • Full Article

  35 25

• AI-POWERED COMPUTATIONAL ONCOLOGY: ADVANCING PERSONALIZED CANCER MEDICINE THROUGH MULTIMODAL DATA FUSION

  Dr. Arjun Menon, Dr. Roshni Sharma, Mrs. Shilpa Rao, Dr. Danish Khan (Author)

  • Full Article

  30 23

• FUTURE CANCER INTELLIGENCE: CONVERGING FOUNDATION AI, DIGITAL TWINS, MULTIMODAL LEARNING, AND PRECISION ONCOLOGY

  Dr. Yogesh Rao, Mrs. Pooja Kulshrestha, Dr. Karthik Bhat (Author)

  • Full Article

  30 14

• ARTIFICIAL INTELLIGENCE–ENABLED COMPUTATIONAL PATHOLOGY: FOUNDATION MODELS FOR NEXT-GENERATION PRECISION CANCER DIAGNOSTICS

  Dr. Abhishek Narayanan (Author)

  • Full Article

  26 22

• FOUNDATION AI MODELS FOR PRECISION IMMUNOTHERAPY: PREDICTING RESPONSE, RESISTANCE, AND CLINICAL OUTCOMES

  Dr. Neeraj Khanna, Mrs. Divya Joshi (Author)

  • Full Article

  34 16

• AGENTIC ARTIFICIAL INTELLIGENCE IN PRECISION ONCOLOGY: AUTONOMOUS MULTIMODAL SYSTEMS FOR PERSONALIZED CANCER CARE

  Dr. Anirudh Nair (Author)

  • Full Article

  44 33

• PRECISION CANCER INTELLIGENCE: LEVERAGING FOUNDATION MODELS, DIGITAL TWINS, AND MULTIMODAL LEARNING FOR CLINICAL TRANSLATION

  Dr. MohanaIyer, Dr. Pradeep Joshi, Dr. Aditi Shah (Author)

  • Full Article

  36 14

• FOUNDATION AI MODELS FOR SYSTEMS ONCOLOGY: INTEGRATING MULTI-OMICS, IMAGING, AND CLINICAL INTELLIGENCE FOR PRECISION CANCER CARE

  Dr. Harsha Menon, Dr. Bhavana Rao, Dr. Nilesh Patel (Author)

  • Full Article

  37 17

• MULTIMODAL LEARNING IN PRECISION ONCOLOGY: BRIDGING IMAGING, MOLECULAR BIOLOGY, AND CLINICAL INTELLIGENCE

  Dr. Harish Venkatesh, Dr. Pooja Sinha, Dr. Faizan Ali (Author)

  • Full Article

  28 22