Questioning the impact of AI and interdisciplinarity in science: Lessons from COVID-19

Artificial intelligence (AI) has emerged as one of the most promising technologies to support COVID-19 research, with interdisciplinary collaborations between medical professionals and AI specialists being actively encouraged since the early stages of the pandemic. Yet, our analysis of more than 10,000 papers at the intersection of COVID-19 and AI suggest that these collaborations have largely resulted in science of low visibility and impact. We show that scientific impact was not determined by the overall interdisciplinarity of author teams, but rather by the diversity of knowledge they actually harnessed in their research. Our results provide insights into the ways in which team and knowledge structure may influence the successful integration of new computational technologies in the sciences

Vaccine Development

Vaccination is the most effective and scientifically based means of protection against infectious diseases, especially in this era of the COVID-19 pandemic. This book examines several issues related to the development of vaccines against viral, bacterial, and parasitic infections

Advances in differential diagnosis and management of growth hormone deficiency in children

Growth hormone (GH) deficiency (GHD) in children is defined as impaired production of GH by the pituitary gland that results in growth failure. This disease might be congenital or acquired, and occurs in isolation or in the setting of multiple pituitary hormone deficiency. Isolated GHD has an estimated prevalence of 1 patient per 4000–10,000 live births and can be due to multiple causes, some of which are yet to be determined. Establishing the correct diagnosis remains key in children with short stature, as initiating treatment with recombinant human GH can help them attain their genetically determined adult height. During the past two decades, our understanding of the benefits of continuing GH therapy throughout the transition period from childhood to adulthood has increased. Improvements in transitional care will help alleviate the consequent physical and psychological problems that can arise from adult GHD, although the consequences of a lack of hormone replacement are less severe in adults than in children. In this Review, we discuss the differential diagnosis in children with GHD, including details of clinical presentation, neuroimaging and genetic testing. Furthermore, we highlight advances and issues in the management of GHD, including details of transitional care

Computational Creativity and Music Generation Systems: An Introduction to the State of the Art

Computational Creativity is a multidisciplinary field that tries to obtain creative behaviors from computers. One of its most prolific subfields is that of Music Generation (also called Algorithmic Composition or Musical Metacreation), that uses computational means to compose music. Due to the multidisciplinary nature of this research field, it is sometimes hard to define precise goals and to keep track of what problems can be considered solved by state-of-the-art systems and what instead needs further developments. With this survey, we try to give a complete introduction to those who wish to explore Computational Creativity and Music Generation. To do so, we first give a picture of the research on the definition and the evaluation of creativity, both human and computational, needed to understand how computational means can be used to obtain creative behaviors and its importance within Artificial Intelligence studies. We then review the state of the art of Music Generation Systems, by citing examples for all the main approaches to music generation, and by listing the open challenges that were identified by previous reviews on the subject. For each of these challenges, we cite works that have proposed solutions, describing what still needs to be done and some possible directions for further research

Elucidating the role of serine protease kallikrein 6 in oligodendrocyte maturation & myelination

Multiple sclerosis (MS) is a chronic central nervous system disease featuring exacerbations of inflammation and demyelination that cause progressively debilitating clinical effects over time. Current treatments for multiple sclerosis are limited in their ability to impact overall disease progression. Research aimed at generation of novel potential therapeutics for MS is needed. Recently, kallikrein 6 (KLK6), a member of the kallikrein (KLK) family of secreted serine proteases, was found to be elevated in the cerebrospinal fluid and brain of MS patients. The fifteen known tissue-based KLKs cleave proteins through a similar mechanism, but have different binding pocket specificity, diverse localization in human tissues, and multiple biological functions. KLKs have been linked to normal human physiology (e.g. KLK4, enamel formation) and disease (e.g. KLK3, prostate cancer). KLK6 is one of the highest expressed serine proteases in the healthy human brain and is expressed predominately in mature oligodendrocytes in both human and mouse brain. The role of KLK6 in oligodendrocyte maturation, myelination, and disease is not fully understood. To evaluate the role of KLK6 in oligodendrocyte maturation, I used a pluripotent in vitro primary cell system to assess the impact of exogenous KLK6 and modulators of the KLK6 pathway on oligodendrocyte maturation. I demonstrate that signaling through KLK6 decreases the number of mature oligodendrocytes in culture, whereas blockade of KLK6 signaling increases the number of mature oligodendrocytes in culture in the presence of triiodothyronine higher than either agent alone. This work suggests that KLK6 modulation impacts oligodendrocyte maturation. To understand the potential impact of KLK6 pathway inhibition on remyelination, I used the toxin cuprizone to induce demyelination in mice. I found that animals treated with a KLK6 inhibitor had increased myelin staining in the corpus callosum compared to vehicle-treated. This work suggests that KLK6 modulates oligodendrocyte maturation and myelination and may be relevant for improving myelin-related therapeutic outcomes, particularly in multiple sclerosis.2019-06-12T00:00:00

Clinical Management of Congenital Hypogonadotropic Hypogonadism

The initiation and maintenance of reproductive capacity in humans is dependent on pulsatile secretion of the hypothalamic hormone GnRH. Congenital hypogonadotropic hypogonadism (CHH) is a rare disorder that results from the failure of the normal episodic GnRH secretion, leading to delayed puberty and infertility. CHH can be associated with an absent sense of smell, also termed Kallmann syndrome, or with other anomalies. CHH is characterized by rich genetic heterogeneity, with mutations in >30 genes identified to date acting either alone or in combination. CHH can be challenging to diagnose, particularly in early adolescence where the clinical picture mirrors that of constitutional delay of growth and puberty. Timely diagnosis and treatment will induce puberty, leading to improved sexual, bone, metabolic, and psychological health. In most cases, patients require lifelong treatment, yet a notable portion of male patients (approximate to 10% to 20%) exhibit a spontaneous recovery of their reproductive function. Finally, fertility can be induced with pulsatile GnRH treatment or gonadotropin regimens in most patients. In summary, this review is a comprehensive synthesis of the current literature available regarding the diagnosis, patient management, and genetic foundations of CHH relative to normal reproductive development.Peer reviewe

MU_PSYC : Algorithmic music composition with a music-psychology enriched genetic algorithm

Recent advancement of artificial intelligence (AI) techniques have impacted the field of algorithmic music composition, and that has been evidenced by live concert performances wherein the audience reportedly often could not tell whether music was composed by machine or by human. Among the various AI techniques, genetic algorithms dominate the field due to their suitability for both creativity and optimization. Many attempts have been made to incorporate rules from traditional music theory to design and automate genetic algorithms. Another popular approach is to incorporate statistical or mathematical measures of fitness. However, these rules and measures are rarely tested for their validity. This thesis is aimed at addressing the above limitation and hence paving the way to advance the field towards composing human-quality music. The basic idea is to look beyond this constrained set of traditional music rules and statistical/mathematical methods towards a more concrete foundation. We look to a field at the intersection of musicology and psychology, referred to as music-psychology. To demonstrate our proposed approach, we implemented a genetic algorithm exclusively using rules found in music-psychology. An online survey was conducted testing the quality of our algorithm’s output compositions. Moreover, algorithm performance was analyzed by experimental study. The initial results are encouraging and warrant further research. The societal implications of our work and other research in the field are also discussed

Integration and mining of malaria molecular, functional and pharmacological data: how far are we from a chemogenomic knowledge space?

The organization and mining of malaria genomic and post-genomic data is highly motivated by the necessity to predict and characterize new biological targets and new drugs. Biological targets are sought in a biological space designed from the genomic data from Plasmodium falciparum, but using also the millions of genomic data from other species. Drug candidates are sought in a chemical space containing the millions of small molecules stored in public and private chemolibraries. Data management should therefore be as reliable and versatile as possible. In this context, we examined five aspects of the organization and mining of malaria genomic and post-genomic data: 1) the comparison of protein sequences including compositionally atypical malaria sequences, 2) the high throughput reconstruction of molecular phylogenies, 3) the representation of biological processes particularly metabolic pathways, 4) the versatile methods to integrate genomic data, biological representations and functional profiling obtained from X-omic experiments after drug treatments and 5) the determination and prediction of protein structures and their molecular docking with drug candidate structures. Progresses toward a grid-enabled chemogenomic knowledge space are discussed.Comment: 43 pages, 4 figures, to appear in Malaria Journa

The concept of 'Genetic Modification' in a Descriptive Translation Study (DTS) of an English-Spanish corpus of Popular Science Books on Genetic Engineering: Denominative Variation, Semantic Prosody and Ideological Aspects of Translation Strategies

El objetivo general consiste en examinar el concepto de 'modificación genética' a través de tres fenómenos lingüísticos: la variación denominativa, la prosodia semántica y los aspectos ideológicos de las principales estrategias de traducción. Para estudiar la variación denominativa se han seleccionado dos términos técnicos 'DNA' y 'gene/s' y dos subtécnicos 'food/s' y 'crop/s'. Para el estudio de la prosodia semántica se han analizado las concordancias de 'genetic' + N y 'genetically'`+ Adj. La comparación de las variantes denominativas y las prosodias semánticas en un corpus paralelo inglés-español de ingenería genética arrojan resultados sobre los aspectos ideológicos de las principales estrategias de traducción encontradas en el corpus.Departamento de Filología Ingles