Applications of Deep Learning in Healthcare

Applications of Deep Learning in Healthcare

Artificial Intelligence (AI) is becoming increasingly important in the medical field. It provides predictive behaviors that can accurately analyze complex medical data. With AI integration into many fields of medicine, it is important for healthcare providers to understand its capabilities and limitations. Its growing popularity and presence in healthcare has caused widespread media coverage, allowing a wider percentage of our population to become aware of its great potential to help. However, these news stories are often hyperbolic and overestimate the power of AI in healthcare and ignore its potential limitations.

Press Release: Mold Meets Maize: Understanding Kenya’s 2004 Aflatoxicosis Outbreak

Press Release: Mold Meets Maize: Understanding Kenya’s 2004 Aflatoxicosis Outbreak

The World Health Organization estimates that Kenyans consume 171 grams of maize per person daily, or approximately 62 kilograms per person per year. Like many types of grains, nuts, and dried fruits, maize can serve as a host for molds that produce toxins. In an article published at JYI this week, Kaiming Tan of the Department of Environmental Toxicology at the University of California Davis discusses possible environmental and societal contributions that lead to Kenya’s most severe outbreak of acute aflatoxicosis in 2004.

Aflatoxin and Its Toxic Tragedies in Kenya

Aflatoxin is a mycotoxin produced by fungi, primarily Aspergillus flavus. Aspergillus flavus is often found in maize and peanuts. Aflatoxin is a serious health concern, especially in countries such as Kenya, where improper crop storage in warm, humid conditions causes it to thrive. In this review, we analyze the possible reasons behind the 2004 aflatoxin outbreak in Kenya. We also discuss the lessons learned from the tragedy and put forth potential solutions to prevent future outbreaks. Aflatoxin control is important to minimize crop damage and its adverse health effect on humans.

First Genomic Study of Schizophrenia in African People Reveals Potential Genetic Causes

First Genomic Study of Schizophrenia in African People Reveals Potential Genetic Causes

Affecting roughly one percent of the population worldwide, schizophrenia first manifests in the mid-teens to late 30s, and distorts an individual’s interpretation of reality. Schizophrenia is diagnosed through the presence of “positive symptoms” which are feelings or behaviors that are usually not present such as hallucinations, delusions, and disordered thinking.