(Press-News.org) Writing research papers is critical for disseminating scientific findings, but it does come with efficiency burdens, particularly for early-career researchers and non-native English speakers. A survey published in Nature in 2018 indicated that approximately 37% of respondents reported that they spend more than 20 hours a week on writing and revising scientific papers.
Recent progress in Natural Language Processing (NLP) technology, particularly with the rise of Generative Pre-trained Transformers (GPT) and other Large Language Models (LLMs), has equipped researchers with a powerful set of tools for processing extensive amounts of literature quickly. Insilico Medicine ("Insilico"), a clinical-stage generative AI-driven biotechnology company, has launched a preview version of its draft outline research assistant, Science42:DORA, to streamline the generation of scientific content.
Science42: DORA (aka DORA) integrates multiple AI agents that leverage LLMs, designed to streamline the process of drafting academic papers and other scientific documents including grant and patent applications, internal research summaries, IND applications, etc. It assists researchers in drafting these types of documents with proper referencing through engineered prompts, proprietary databases, and pre-designed content generation workflows.
“Often the most difficult step when it comes to writing is starting the process. Something that I experienced first-hand as a graduate student when I was tasked with writing numerous grants, papers and reports.” said Petrina Kamya, PhD, Global head of AI Platform, Vice President of Insilico Medicine. “We developed Science42:DORA to help eliminate that debilitating barrier to writing scientific documents.”
To further validate DORA’s abilities, Insilico's developers collaborated with researchers at the University of Copenhagen to submit a paper on medRxiv. The paper drafted by DORA and later manually curated and extended, performs a comparative study about radiotherapy outcomes across brain tumor types, namely Glioblastoma Multiform and Low-Grade Gliomas based on radiotherapy phenotype and expression data from 32 cancer datasets. Insilico plans to further test DORA in multiple types of document generation and launch a free trial version of the AI assistant to the public in late 2024.
“Here at Insilico, we strive to integrate state-of-art AI innovations with human intelligence for faster and better advancements in research and development, and LLM-based AI agents have been our recent focus.” said Alex Zhavoronkov, PhD, Founder and CEO of Insilico Medicine. “With DORA, we hope not only to streamline the writing process but also to elevate the overall quality of scholarly output, which in turn powers practical applications and meaningful delivery.”
Insilico Medicine is a pioneer in using generative AI for drug discovery and development. The Company first described the concept of using generative AI for the design of novel molecules in a peer-reviewed journal in 2016. Then, Insilico developed and validated multiple approaches and features for its generative adversarial network (GAN)-based AI platform and integrated those algorithms into the commercially available Pharma.AI platform, which includes generative biology, chemistry, and medicine.
Since 2021, Insilico has nominated 18 preclinical candidates in its comprehensive portfolio of over 30 promising therapeutic assets and has advanced seven molecules to the clinical stage. In March 2024, the Company published a paper in Nature Biotechnology that discloses the raw experimental data and the preclinical and clinical evaluation of its lead drug – a potentially first-in-class TNIK inhibitor for the treatment of idiopathic pulmonary fibrosis discovered and designed using generative AI currently in Phase II trials with patients.
About Insilico Medicine
Insilico Medicine, a global clinical-stage biotechnology company powered by generative AI, connects biology, chemistry, and clinical trial analysis using next-generation AI systems. The company has developed AI platforms that utilize deep generative models, reinforcement learning, transformers, and other modern machine learning techniques for novel target discovery and generating novel molecular structures with desired properties. Insilico Medicine is developing breakthrough solutions to discover and develop innovative drugs for cancer, fibrosis, immunity, central nervous system diseases, infectious diseases, autoimmune diseases, and aging-related diseases. www.insilico.com
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As 5G technologies continue to evolve, scientists and engineers are already exploring new ways to turn things up a notch for 6G. One of the biggest challenges to address in both 5G and 6G is the many detrimental effects that operating at extremely high frequencies has on wireless communications. At frequencies nearing the terahertz range, problems such as signal attenuation and interference are more prominent, and maintaining signal integrity becomes much harder.
Some of these issues can be greatly mitigated by using insulating materials with exceptional dielectric properties. Glass- and ceramic-based insulating materials ...
At first glance, the plan sounds compelling: invent and develop future electrolysers capable of producing hydrogen directly from unpurified seawater. But a closer look reveals that such direct seawater electrolysers would require years of high-end research. And what is more: DSE electrolyzers are not even necessary - a simple desalination process is sufficient to prepare seawater for conventional electrolyzers. In a commentary in Joule, international experts compare the costs and benefits of the different approaches and come to a clear recommendation.
Fresh water is a limited ...
New research has found that 4,642 species of vertebrate are threatened by mineral extraction around the world through mining and quarrying, and drilling for oil and gas.
Mining activity coincides with the world's most valuable biodiversity hotspots, which contain a hyper-diversity of species and unique habitats found nowhere else on Earth.
The biggest risk to species comes from mining for materials fundamental to our transition to clean energy, such as lithium and cobalt – both essential components of solar ...
About The Study: U.S. health care workers are more likely than other workers to carry medical and educational debt, collectively owing more than $150 billion. This study found that medical debt was more prevalent among women, home health and nursing home personnel, uninsured individuals, and those with recent hospitalization. Educational debts disproportionately burdened Black workers and younger workers and those with higher education.
Corresponding Author: To contact the corresponding author, Kathryn E.W. Himmelstein, M.D., M.S.Ed., email khimmelstein@mgb.org.
To access the embargoed study: Visit our For The Media website at this ...
About The Study: This cross-sectional study indicates that stringent COVID-19 restrictions, as a group, were associated with substantial decreases in pandemic mortality, with behavior changes plausibly serving as an important explanatory mechanism. These findings do not support the views that COVID-19 restrictions were ineffective. However, not all restrictions were equally effective; some, such as school closings, likely provided minimal benefit while imposing substantial cost.
Corresponding Author: To contact the corresponding author, Christopher J. Ruhm, Ph.D., email ruhm@virginia.edu.
To access the embargoed study: Visit our For The Media website ...
About The Study: In this survey study of 5,991 participants, presumptive posttraumatic stress disorder (PTSD) was quite prevalent long after the mass violence incident (MVI) among adults in communities that have experienced an MVI, suggesting that MVIs have persistent and pervasive public health impacts on communities, particularly among those with prior exposure to physical or sexual assault and other potentially traumatic events. Focusing exclusively on direct exposure to MVIs is not sufficient. Incorporating these findings into ...
RENO, Nevada — Why do flies buzz around in circles when the air is still? And why does it matter?
In a paper published online July 26, 2024 by the scientific journal Current Biology, University of Nevada, Reno Assistant Professor Floris van Breugel and Postdoctoral Researcher S. David Stupski respond to this up-until-now unanswered question. And that answer could hold a key to public safety — specifically, how to better train robotic systems to track chemical leaks.
“We don’t currently have robotic systems to track odor or chemical plumes,” van Breugel said. “We don’t know how to efficiently find the ...
Researchers from Tokyo Medical and Dental University (TMDU) explore the safety and effectiveness of alemtuzumab in an Asian cohort
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The central principle of the proposed MAC determination method is to connect the batteries within an RBS in parallel to the maximum possible extent, thereby maximizing the output current. To achieve this universally and automatically, the overall process is divided into the 4 steps shown in Fig. 1. First, a directed graph model is established for the subsequent computations. The nodes in the directed graph correspond to the connection points of components in the actual RBS. The edges in the directed graph correspond to the batteries, switches, and external electrical loads in the actual ...
Highlights
-Developed a 21-language, fast and high-fidelity neural text-to-speech technology
-The developed model can synthesize one second of speech at high speed in only 0.1 seconds using a single CPU core, which is about eight times faster than the conventional methods
-The developed model can realize fast synthesis with a latency of 0.5 seconds on a smartphone without network connection
-The technology is expected to be introduced into speech applications, such as multilingual speech translation and car navigation
Abstract
The Universal Communication Research Institute of the National Institute of Information and Communications Technology (NICT, President: TOKUDA Hideyuki, ...
