How AI is Transforming Medicine and Improving Lives AI in the Healthcare Domain Author Aditya Iyengar (ORCID: 0009–0005–1959–9724) Introduction The rapid integration of Artificial Intelligence (AI) into healthcare is no longer just a futuristic vision — it is happening now and at an extraordinary pace.
There is a plethora of articles and predictions about the future development of AI. Reading through them suggests three main areas of high-impact changes that would transform our daily lives: Healthcare, Automation, and Manufacturing. The impact of AI in these industries is profound and multifaceted, with each sector experiencing unique transformations. Some of these ideas are described in this NVIDIA article by Cliff Edwards.
Field notes of early-20th century entomologist Johanna Bonne-Wepster have been turned into crucial new public health data through digitization, filling data gaps and continuing her legacy in forming Dutch tropical medicine research. Natural history collections contain huge amounts of information on diversity, distribution and ecology of a variety of species; however, much of this valuable information is effectively lost
Doctors are moving out of their clinics and taking over the digital world. Many physicians are engaging in digital media, sharing their expertise and opinions on platforms such as Instagram, TikTok and YouTube. But little is known on how doctors are mediating health research on social media. Noha Atef, a postdoctoral fellow at the ScholCommLab, led a series of qualitative studies on doctors who create video blogs (or vlogs) on YouTube.
In the slow, unpredictable world of journal publication, preprints—unreviewed published papers—offer a mechanism for rapidly communicating health research with the scholarly community. Historically, media coverage of preprints was discouraged in journalism, due to potential concerns about reporting flawed, biased, or provisional research.
By Alice Fleerackers (Simon Fraser University) and Lauren A Maggio (Uniformed Services University of the Health Science) A story on gender inequity in scientific research industries. A deep dive into the daily rhythms of the immune system. A look at vaccine effectiveness for COVID-19 variants.
Our WHO-sponsored series of articles describing biodiversity data relevant to vector-borne diseases has now been published in GigaByte . This special issue presents a wide variety of data relating to the presence, spread, and diversity of organisms that are transmitting viruses, bacteria and parasites to humans.
We have a Q&A with author Tom Edinburgh from the University of Cambridge on his new GigaByte paper presenting Sepsis-3 criteria in AmsterdamUMCdb, which is one of the largest freely accessible Intensive Care database in Europe.
A new article published today in GigaScience demonstrates that machine learning can yield “proxy measures” for brain-related health issues from large population data, without the need for a specialist’s assessment.
Following our efforts promoting open science and “community genomics” projects that have included the “Peoples Parrot” , community cactus, and our very own Bauhinia Genome, today we have a guest posting from the Transbiome team.