Results 51 to 60 of about 1,187,761 (284)

Artificial intelligence in public health: the potential of epidemic early warning systems

open access: yesJournal of International Medical Research, 2023
The use of artificial intelligence (AI) to generate automated early warnings in epidemic surveillance by harnessing vast open-source data with minimal human intervention has the potential to be both revolutionary and highly sustainable.
Chandini Raina MacIntyre   +11 more
doaj   +1 more source

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

open access: yesFEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes   +32 more
wiley   +1 more source

The Role of Open‐Source Software in Artificial Intelligence

open access: yesAI Magazine, 2021
With this publication, we launch a new column for AI Magazine on the role of open‐source software in artificial intelligence. As the column editor, I would like to extend my welcome and invite AI Magazine readers to send short articles for future columns, which may appear in the traditional print version of AI Magazine, or on the AI Magazine ...
openaire   +2 more sources

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

open access: yesFEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Big data brings new power to open-source intelligence [PDF]

open access: yes, 2014
The story of Eliot Higgins, a blogger who exploits publicly accessible material to piece together important facts about the Syrian conflict, offers a unique insight into the enormous potential of open-source intelligence.
Moran, Matthew
core  

WLCG Security Operations Centres Working Group [PDF]

open access: yes, 2017
Security monitoring is an area of considerable interest for sites in the Worldwide LHC Computing Grid (WLCG), particularly as we move as a community towards the use of a growing range of computing models and facilities.
Crooks, David, Vâlsan, Liviu
core   +1 more source

Combined 5‐aminolevulinic acid and ferric ammonium citrate treatment promotes hair follicle growth by activating dermal papilla cells

open access: yesFEBS Open Bio, EarlyView.
5‐Aminolevulinic acid combined with ferric ammonium citrate (5‐ALA/FAC) stimulates dermal papilla cell activity and promotes hair follicle growth. The treatment enhances ERK and AKT signaling, increases hair‐inductive gene expression, and restores dermal papilla function suppressed by dihydrotestosterone and oxidative stress, resulting in enhanced hair
Han‐Wook Ryu, Eok‐Soo Oh, Sewoon Kim
wiley   +1 more source

Open-source intelligence as a tool supplementing the activity in the field of a forensic technique

open access: yesActa Universitatis Lodziensis Folia Iuridica, 2018
Modern collection of information from open sources like state, press and private ones come under open-source intelligence and it is a complement to operation activities carried out in criminology.
Agata Ziółkowska
doaj   +1 more source

The Hanabi Challenge: A New Frontier for AI Research

open access: yes, 2019
From the early days of computing, games have been important testbeds for studying how well machines can do sophisticated decision making. In recent years, machine learning has made dramatic advances with artificial agents reaching superhuman performance ...
Bard, Nolan   +14 more
core   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

open access: yesFEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova   +2 more
wiley   +1 more source

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