Development of a Machine Learning Model Integrating Environmental Lead Exposure Data and Genomic Variation to Predict Neurodevelopmental Outcomes in Pediatric Cohorts

Year	Title	Authors	Volume	Issue	Pages
2026	Optimizing Enzymatic Biocatalysis of Lignocellulosic Biomass for Sustainable Biofuel Production Using Directed Evolution of Xylanases	Dr. Amara Okafor, Prof. Lars Lindqvist,	1	2	89-94
2026	Development of a Wearable Graphene-Based Nanosensor for Real-Time Monitoring of Glucose and Lactate Levels in Interstitial Fluid	Dr. Amara Okafor, Prof. Lars Lindqvist,	1	2	95-101
2026	Directed Evolution of a Thermostable Lipase for Enantioselective Synthesis of Chiral Pharmaceutical Intermediates in Continuous Flow Bioreactors	Dr. Elena Rostova, Prof. Tariq Al-Mansoor, Dr. Chidimma Okoye,	1	2	102-108
2026	Development of a Machine Learning Model Integrating Environmental Lead Exposure Data and Genomic Variation to Predict Neurodevelopmental Outcomes in Pediatric Cohorts	Prof. Kwabena Mensah, Dr. Elena Rostova, Dr. Mei-Ling Zhou,	1	2	109-116