scholarly journals What about Adaptive Introgression? The Genomic Revolution Is Shaping Scientific and Public Perception

2021 ◽  
Author(s):  
Pedro Horta ◽  
Helena Raposeira ◽  
Ana Sofia Vaz ◽  
João António ◽  
Javier Juste ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Emotional Response ◽  
Public Perception ◽  
Scientific Progress ◽  
Genetic Purity ◽  
Adaptive Introgression ◽  
Public Beliefs ◽  
Genomic Revolution

Abstract Genetic miscegenation was historically perceived as a maladaptive process or even an imperfection of nature. However, through adaptive introgression, some species can share genes associated with well-adapted traits. Current scientific perceptions on the benefits of adaptive introgression can help to clarify how these paradoxes condition scientific progress and influence public beliefs and decision-making. We carried out a systematic review and bibliometric analysis using artificial intelligence on adaptive introgression evidence. The genomic revolution provided an exponential growing of evidence predominately interpreted as beneficial for species adaptation. We show that this remarkable increase on publications influences public perception in the medium-long term. Despite an initially emotional response, peoples’ final opinion tends to incorporate science-based evidence, although prejudices seem to influence peoples’ polarity opinion. We argue that developing the knowledge on adaptive introgression will allow to scientifically refute theories that promote genetic “purity”, used to justify racism and other forms of discrimination.

scholarly journals Forms of explanation and understanding for neuroscience and artificial intelligence

2021 ◽  
Author(s):  
Jessica A. F. Thompson
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Deep Neural Networks ◽  
Scientific Explanation ◽  
Scientific Progress ◽  
Neural Systems ◽  
Relational Reasoning ◽  
Integrated Science ◽  
Philosophical Questions

Much of the controversy evoked by the use of deep neural networks as models of biological neural systems amount to debates over what constitutes scientific progress in neuroscience. In order to discuss what constitutes scientific progress, one must have a goal in mind (progress towards what?). One such long term goal is to produce scientific explanations of intelligent capacities (e.g., object recognition, relational reasoning). I argue that the most pressing philosophical questions at the intersection of neuroscience and artificial intelligence are ultimately concerned with defining the phenomena to be explained and with what constitute valid explanations of such phenomena. I propose that a foundation in the philosophy of scientific explanation and understanding can scaffold future discussions about how an integrated science of intelligence might progress. Towards this vision, I review relevant theories of scientific explanation and discuss strategies for unifying the scientific goals of neuroscience and AI.

scholarly journals Forms of explanation and understanding for neuroscience and artificial intelligence

2021 ◽  
Author(s):  
Jessica Anne Farrell Thompson
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Deep Neural Networks ◽  
Scientific Explanation ◽  
Scientific Progress ◽  
Neural Systems ◽  
Relational Reasoning ◽  
Integrated Science ◽  
Philosophical Questions

Much of the controversy evoked by the use of deep neural networks (DNNs) as models of biological neural systems amount to debates over what constitutes scientific progress in neuroscience. In order to discuss what constitutes scientific progress, one must have a goal in mind (progress towards what?). One such long term goal is to produce scientific explanations of intelligent capacities (e.g. object recognition, relational reasoning). I argue that the most pressing philosophical questions at the intersection of neuroscience and artificial intelligence are ultimately concerned with defining the phenomena to be explained and with what constitute valid explanations of such phenomena. As such, I propose that a foundation in the philosophy of scientific explanation and understanding can scaffold future discussions about how an integrated science of intelligence might progress. Towards this vision, I review several of the most relevant theories of scientific explanation and begin to outline candidate forms of explanation for neural and cognitive phenomena.

Mechanical thrombectomy in pediatric stroke: systematic review, individual patient data meta-analysis, and case series

2019 ◽  
Vol 24 (5) ◽  
pp. 558-571 ◽  
Author(s):  
Kartik Bhatia ◽  
Hans Kortman ◽  
Christopher Blair ◽  
Geoffrey Parker ◽  
David Brunacci ◽  
...  
Keyword(s):  
Systematic Review ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Mechanical Thrombectomy ◽  
Case Reports ◽  
Meta Analysis ◽  
Case Series ◽  
Neurological Outcomes

OBJECTIVEThe role of mechanical thrombectomy in pediatric acute ischemic stroke is uncertain, despite extensive evidence of benefit in adults. The existing literature consists of several recent small single-arm cohort studies, as well as multiple prior small case series and case reports. Published reports of pediatric cases have increased markedly since 2015, after the publication of the positive trials in adults. The recent AHA/ASA Scientific Statement on this issue was informed predominantly by pre-2015 case reports and identified several knowledge gaps, including how young a child may undergo thrombectomy. A repeat systematic review and meta-analysis is warranted to help guide therapeutic decisions and address gaps in knowledge.METHODSUsing PRISMA-IPD guidelines, the authors performed a systematic review of the literature from 1999 to April 2019 and individual patient data meta-analysis, with 2 independent reviewers. An additional series of 3 cases in adolescent males from one of the authors’ centers was also included. The primary outcomes were the rate of good long-term (mRS score 0–2 at final follow-up) and short-term (reduction in NIHSS score by ≥ 8 points or NIHSS score 0–1 at up to 24 hours post-thrombectomy) neurological outcomes following mechanical thrombectomy for acute ischemic stroke in patients < 18 years of age. The secondary outcome was the rate of successful angiographic recanalization (mTICI score 2b/3).RESULTSThe authors’ review yielded 113 cases of mechanical thrombectomy in 110 pediatric patients. Although complete follow-up data are not available for all patients, 87 of 96 (90.6%) had good long-term neurological outcomes (mRS score 0–2), 55 of 79 (69.6%) had good short-term neurological outcomes, and 86 of 98 (87.8%) had successful angiographic recanalization (mTICI score 2b/3). Death occurred in 2 patients and symptomatic intracranial hemorrhage in 1 patient. Sixteen published thrombectomy cases were identified in children < 5 years of age.CONCLUSIONSMechanical thrombectomy may be considered for acute ischemic stroke due to large vessel occlusion (ICA terminus, M1, basilar artery) in patients aged 1–18 years (Level C evidence; Class IIb recommendation). The existing evidence base is likely affected by selection and publication bias. A prospective multinational registry is recommended as the next investigative step.

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