Biography
Mohamed Abdelgadir Adam is an assistant professor in the Division of Hepatobiliary and Pancreatic Surgery. He is a cancer surgeon who treats gastrointestinal tumors and specializes in the treatment of cancers of the pancreas and bile ducts. Dr. Adam has special expertise in robotic minimally invasive pancreato-biliary surgery, including robotic pancreaticoduodenectomy (Whipple procedure). Additionally, he has experience in regional treatment strategies for metastatic cancers in the liver and the peritoneal cavity, including placement of hepatic infusion pumps for patients with unresectable (colorectal and intrahepatic cholangiocarcinoma) liver disease and cytoreductive surgery with Hyperthermic Intraperitoneal Chemotherapy (HIPEC).
Dr. Adam received his medical degree from the Faculty of Medicine and Health Sciences. He completed general surgery training at Duke University Medical Center in Durham, NC. He continued his training with a two-year fellowship in complex surgical oncology at the University of Pittsburgh Medical Center in Pittsburgh, PA. Dr. Adam also completed two research fellowships at Duke University.
Dr. Adam’s research focuses on leveraging translational artificial intelligence and machine learning algorithms to optimize cancer patients’ treatment. He is a prolific researcher and has already authored over one hundred publications. He is a member of several professional societies. Dr. Adam already received many academic honors at Duke University and UCSF.
Education
MD: Faculty of Medicine and Health Sciences, Omdurman Islamic University, Sudan
2018: General Surgery Residency, Duke University Medical Center
2010: Postdoctoral Research Fellowship, Duke Institute for Genome Sciences & Policy, Durham, NC
2016: Research Fellowship, Duke Clinical Research Institute, Durham, NC
Board Certifications
American Board of Surgery, General Surgery
Clinical Expertise
Robotic Minimally Invasive Whipple & Distal Pancreatectomy
Bile Duct Cancer (Cholangiocarcinoma)
Bile Duct Injuries
Bile Duct Strictures
Transplantation
Choledochal Cysts
Cytoreductive Surgery with Hyperthermic Intraperitoneal Chemotherapy (HIPEC)
Gallbladder Cancer
Gastrointestinal Carcinoid Tumor
Gastrointestinal Stromal Tumor (GIST)
Liver Cysts
Liver Metastases
Pancreatic Cancer
Pancreatic Cysts
Pancreatic Neuroendocrine Tumors
Stomach (Gastric) Cancer
Research Narrative
Dr. Adam’s research focuses on leveraging translational artificial intelligence and machine learning algorithms to optimize cancer staging and treatment. He is a prolific researcher and has already authored over one hundred publications.
Research Interests
Leveraging translational artificial intelligence and machine learning in optimizing staging and management of gastrointestinal cancers.
Health Services Research
Research Pathways
Publications
- Systemic Therapy and Surgical Management of Peritoneal Mesothelioma.| |
PubMed
- ASO Author Reflections: Innovative Robot-Assisted Endoluminal Resection for Gastroesophageal Junction Leiomyomas.| |
PubMed
- Robotic-Assisted Endoluminal Resection of Gastroesophageal Junction Leiomyoma with Transoral Specimen Extraction: Technique, Outcome, and Safety.| |
PubMed
- National practice patterns in the use of endoscopic ultrasound biopsy for resectable Pancreatic Neuroendocrine Tumors: Insights into the role of DOTATATE PET/CT in diagnosis.| |
PubMed
- Reply to: Letter to Editor Regarding Article "A Machine Learning Approach to Predict Postoperative Pancreatic Fistula after Pancreaticoduodenectomy Using Only Preoperatively Known Data" by Yang, Yanfei et al.| |
PubMed
- ASO Visual Abstract: Predicting Severe Complications from Cytoreductive Surgery with Hyperthermic Intraperitoneal Chemotherapy-A Data-Driven, Machine Learning Approach to Augment Clinical Judgement.| |
PubMed
- ASO Author Reflections: Machine Learning-Based Preoperative Prediction of Pancreatic Fistula after Pancreaticoduodenectomy.| |
PubMed
- A Machine Learning Approach to Predict Postoperative Pancreatic Fistula After Pancreaticoduodenectomy Using Only Preoperatively Known Data.| |
PubMed
- ASO Author Reflections: Augmenting Clinical Decision-Making Around Cytoreductive Surgery with Hyperthermic Intraperitoneal Chemotherapy Through Traditional and Machine Learning Algorithms.| |
PubMed
- Predicting Severe Complications from Cytoreductive Surgery with Hyperthermic Intraperitoneal Chemotherapy: A Data-Driven, Machine Learning Approach to Augment Clinical Judgment.| |
PubMed
- ASO Author Reflections: Contemporary Management Trends in Malignant Peritoneal Mesothelioma.| |
PubMed
- National Practice Patterns in Malignant Peritoneal Mesothelioma: Updates in Management and Survival.| |
PubMed
- Hypertension Requiring Medication Use: a Silent Predictor of Poor Outcomes After Pancreaticoduodenectomy.| |
PubMed
- Hand-Assisted Versus Pure Minimally-Invasive Distal Pancreatectomy: Is There a Downside to Lending a Hand?| |
PubMed
- Disparities in access to care among patients with appendiceal or colorectal cancer and peritoneal metastases: A medicare insurance-based study in the United States.| |
PubMed
- Disparities in Care Access to Liver-Directed Therapy Among Medicare Beneficiaries with Colorectal Cancer Liver Metastasis.| |
PubMed
- Neoadjuvant Therapy Versus Upfront Resection for Nonpancreatic Periampullary Adenocarcinoma.| |
PubMed
- ASO Author Reflections: Neoadjuvant Therapy for Nonpancreatic Periampullary Adenocarcinoma.| |
PubMed
- ASO Author Reflections: An Objective Hospital Volume Threshold for Minimally Invasive Pancreaticoduodenectomy.| |
PubMed
- Determining Hospital Volume Threshold for Safety of Minimally Invasive Pancreaticoduodenectomy: A Contemporary Cutpoint Analysis.| |
PubMed
- ASO Author Reflections: Neoadjuvant Chemotherapy for Pancreatic Adenocarcinoma Lessens the Deleterious Effect of Omission of Adjuvant Chemotherapy.| |
PubMed
- Development of stability-indicating methods for cefquinome sulphate.| |
PubMed