6 citations · 12 across the 8 of their papers we have counts for
8 papers
Can Large Language Models Design Biological Weapons? Evaluating Moremi Bio
Gertrude Hattoh, Jeremiah Ayensu, Nyarko Prince Ofori +2
Advances in AI, particularly LLMs, have dramatically shortened drug discovery cycles by up to 40% and improved molecular target identification. However, these innovations also rais…
Localized Data Work as a Precondition for Data-Centric ML: A Case Study of Full Lifecycle Crop Disease Identification in Ghana
Darlington Akogo, Issah Samori, Cyril Akafia +5
The Ghana Cashew Disease Identification with Artificial Intelligence (CADI AI) project demonstrates the importance of sound data work as a precondition for the delivery of useful,…
minoHealth.ai: A Clinical Evaluation Of Deep Learning Systems For the Diagnosis of Pleural Effusion and Cardiomegaly In Ghana, Vietnam and the United States of America
Darlington Akogo, Benjamin Dabo Sarkodie, Issah Abubakari Samori +3
A rapid and accurate diagnosis of cardiomegaly and pleural effusion is of the utmost importance to reduce mortality and medical costs. Artificial Intelligence has shown promise in…
A Standardized Radiograph-Agnostic Framework and Platform For Evaluating AI Radiological Systems
Darlington Ahiale Akogo
Radiology has been essential to accurately diagnosing diseases and assessing responses to treatment. The challenge however lies in the shortage of radiologists globally. As a respo…
A Preliminary Exploration into an Alternative CellLineNet: An Evolutionary Approach
Akwarandu Ugo Nwachuku, Xavier Lewis-Palmer, Darlington Ahiale Akogo
Within this paper, the exploration of an evolutionary approach to an alternative CellLineNet: a convolutional neural network adept at the classification of epithelial breast cancer…
CellLineNet: End-to-End Learning and Transfer Learning For Multiclass Epithelial Breast cell Line Classification via a Convolutional Neural Network
Darlington Ahiale Akogo, Vincent Appiah, Xavier-Lewis Palmer
Computer Vision for Analyzing and Classifying cells and tissues often require rigorous lab procedures and so automated Computer Vision solutions have been sought. Most work in such…
End-to-End Learning via a Convolutional Neural Network for Cancer Cell Line Classification
Darlington Ahiale Akogo, Xavier-Lewis Palmer
Computer Vision for automated analysis of cells and tissues usually include extracting features from images before analyzing such features via various Machine Learning and Machine…
ScaffoldNet: Detecting and Classifying Biomedical Polymer-Based Scaffolds via a Convolutional Neural Network
Darlington Ahiale Akogo, Xavier-Lewis Palmer
We developed a Convolutional Neural Network model to identify and classify Airbrushed (alternatively known as Blow-spun), Electrospun and Steel Wire scaffolds. Our model ScaffoldNe…