Dragon09/odtu_chatbot huggingface dataset:
from understanding to rational design of nextgeneration cancer therapies

immunotherapy combined with cytotoxic and molecular therapies have entered centre stage as novel treatments for cancer despite this advance toxicity and insufficient efficacy in many patients remain major obstacles and illustrate the need for therapy improvement based on a deeper understanding of the cellular damage and repair responses to drugs and immunotherapy to overcome this roadblock i propose a previously unappreciated approach by combining immunotherapy with cancer therapies at ultralow sublethal dose we demonstrated that cytotoxic t cells induce sublethal membrane and dna damage and oxidative stress which when repaired allows for tumor cell survival however when damage adds up the tumor cell diesi hypothesize that sublethal effects reveal novel vulnerabilities in cancer cells which can be exploited by complementary multitargeted therapies at ultralow dose which are nontoxic individually but when combined achieve lethality by an additive mechanismtaking advantage of innovative microscopy i aim to produce a catalogue of damages and repair types and their combined effects in tumor cells singlecell analyses combined with advanced statistics and mathematical modeling will be used to derive the damage profile and duration of damage for each modality in tumor cells yet without side effects towards immune effector cells i will design algorithms for multitargeted regimens to achieve additive damage reduced repair and death induction and validate them in immunotherapy models in vitro and in local and disseminated preclinical cancer in vivo if resistance occurs survival programs will be detected by singlecell transcriptomics and countered by orthogonal targetingsublethal will 1 identify sublethal damage as the basis of cytotoxic therapy 2 enable rational design of multitargeted ultralow dose additive regimens and advance 3 the understanding efficacy and tolerability of chemoimmunotherapy for 4 rapid clinical translation
harnessing senescence to improve cellbased therapies against cancer

senescence is a twocomponent process comprised of a stable cell cycle arrest and a secretory program named the senescence associated secretory phenotype sasp altering the surrounding microenvironment the program serves as a tumor suppressive mechanism inhibiting the propagation of damaged cells but the accumulation of senescent cells has been connected to multiple ageassociated diseases including cancer consequently senescence induction in tumors is not considered a desired therapeutic outcome still therapeutic strategies to treat cancer such as chemotherapy targeted therapy and radiotherapy induce senescence at least in a subset of cancer cells we here propose to exploit the specific features of senescent cells in the cancer microenvironment to improve therapeutic outcome in solid tumors this strategy revolves around the combination of senescence induction with chimeric antigen receptor car t and nk cells we will first assess the role of specific genetic alterations for the senescence program and resulting reciprocal interactions with car expressing immune cells the gained knowledge will be translated into rational designs of car t and nk cells to tailor them to the specific senescence context furthermore our strategies involve innovative screening and gene editing approaches of these cellular based therapies to 1 render them resistant against senescenceinducing therapies thereby uncoupling desired toxic effects on tumor cells from undesired negative effects on immune cells and 2 to identify single nucleotide variants leading to improved functional persistence of car t cells in the senescence context successful completion will lead to promising new therapeutic avenues for a wide variety of malignancies more broadly it will result in deeper mechanistic insights into t and nk cell biology as well as immune surveillance mechanisms of senescent and nonsenescent tumor cells
solar to butanol solar butanol production by solidstate photosynthetic cell factories

biomass a byproduct of natural photosynthesis has been explored for its potential conversion into energy carriers particularly biofuels however acknowledging the longterm limitations in biomass supply as highlighted by the european commission in the eu bioeconomy strategy progress report 2022 there is an urgent need for the development of advanced bioinspired technologies that mimic nature but exhibit higher efficiencythe s2b project aims to unlock the potential of photosynthetic microbes for the direct conversion of solar energy and co2 into butanol by employing innovative concepts and approaches specifically s2b will transfer the microbial production of butanol from conventional suspension cultivation to a tailored solidstate biocatalytic platform in this platform engineered thinlayer assemblies of cyanobacteria and biobased matrix materials will synergistically enable the redistribution of cell resources such as energy and carbon flows towards butanol formation simultaneously s2b will improve light management enhance co2 capture efficiency and facilitate downstream processes by separating butanol from the production medium consequently the primary technological innovation of s2b will be the continuous longterm direct solar butanol production by photosynthetic cell factories acting as biocatalyststhe process will be integrated with waste effluent and direct air capture covering the entire value chain from light harvesting and co2 capture to product separation through the circular economy concept acting as a multidisciplinary consortium s2b will construct a trl4level prototype paving the way for a smooth upscaling process
development of a novel class of therapeutics for ptsd treatment and other neurodegenerative disorders

rest therapeutics is a french biotech company founded late 2020 that develops breakthrough therapies to treat complex central nervous system disorders in particular posttraumatic stress disorder ptsd under its various forms followed by alzheimer disease adour lead candidate fenm is a novel and proprietary chemical entity nce targeting specifically a subtype of nmda receptor involved in synaptic plasticity in order to facilitate stress release and neuroprotection without triggering adverse side effects of current nmda targeting drugs fenm will enter firstinhuman in june 2023 to initiate the clinical demonstration on ptsd rest is also advancing new compounds to generate a robust library of candidates and generalize its nmdar subtype modulation platform with the potential to treat other neurologic disorders with the eic support rest will bring fenm to clinical poc phiib by 2027 secure a partnership with a pharma company and develop new small molecules to expand its pipeline
developing intercropping for agrifood value chains and ecosystem services delivery in europe and southern countries

intercropvaluees aims to exploit benefits of intercropping to design and manage productive diversified resilient profitable environmentally friendly cropping systems acceptable to farmers and actors in the agrifood chain it will develop both a scientific research action for better understanding and modelling intimate intercrop functioning and a detailed analysis of lockins and levers at the value chain level to identify credible solutions that can be adopted by farmers and value chain actors as a multidisciplinary and multiactor project it brings together scientists and local actors representing food value chain it includes 27 participants from 15 countries 3 continents from a wide diversity of organizations and stakeholders intercropvalues organizes its activities in 6 objectives to 1 support the design of locally relevant legitimate and innovative agrifood chains through 13 coinnovation case studies 2 understand the functioning and ggem interactions allowing the selection of compatible ideotypes and the optimization of machinery and management strategies for maximizing the productivity and delivery of ecosystem services with better soil health and mitigation of ghg meta experiment 15 sites 3 produce novel information improved methods and tools for intercrop management and the assessment of their performance and profitability 4 unravel intercropping performance by modelling 5 analyze grain and sanitary quality of cereallegume intercrops functional qualities for food processing and new products 6 uncover key barriers and levers at the value chain level to boost development and identify new market avenues and solutions to increase economic addedvalue of intercrops the comms and dissemination plan is designed to diffuse outcomes widely by adapted channels to different endusers such as farmers advisors food processing companies and machinery industries retailers and citizens academia policymakers and influence bodies
achieving highintegrity voluntary climate action

in recent years an unprecedented number of voluntary climate commitments have been made by a wide array of nonstate and subnational actors these voluntary climate actions aim to reduce greenhouse gas emissions and build climate resilience and are crucial for lowering risks of exceeding warming limits however the full potential of voluntary climate action can only be realised when integrityrelated concerns are overcomeachieve aims to identify opportunities to strengthen and scale up highintegrity voluntary climate action towards achieving netzero emissions by midcentury the project will generate transformative and timely scientific insights on the role effectiveness and integrity of voluntary climate action including carbon credits assess the integrity and impacts of such action analyse how policies and regulations and highintegrity voluntary climate action can strengthen each other and use scientific findings to support the scaling up of highintegrity voluntary action this will be achieved through a highly inter and transdisciplinary consortium that from the start actively engages policymakers and other societal stakeholders in cocreating outcomes that respond to end users needs achieve is aligned with the work programme of cluster 5 destination 1 climate sciences and responses for the transformation towards climate neutrality as the project directly contributes to advancing knowledge and providing solutions for climate change specifically on high integrity voluntary climate action achieve will develop transition pathways to climate neutrality that integrate voluntary climate action by cities regions and companies it will develop novel social science insights for climate action contribute to better understanding sustainability cobenefits and tradeoffs and increase transparency and trust in voluntary climate action by strengthening integrity and making scientific results easily accessible for different stakeholder groups
doctoral training network tau immune strategies for innovative diagnosis and therapies in dementia

there is an urgent medical need for efficient diagnostics for alzheimers disease and related tauopathies as well as disease modifying treatments due to the heavy burden of the disease on patients families and society to address this public health issue tame ri training network gathers leading academic and industrial experts in tau research with the ambition to keep older people active and independent for longer tame aims to provide better understanding of taurelated diseases and supports the development of new safer personalised and more effective diagnosis and interventions for ad and the less common tauopathies the beneficiaries and partners bring together resources and knowledge across different fields and technologies to provide a multidisciplinary approach necessary to take on the challenge they have teamedup to combine molecular and cellular neuroscience with computing chemical and bioengineering and their technology expertise the first tau network of europe tame will focus on novel approaches using nanobodies which have emerged as very promising antibody formats in tau research the primary objective of the tame is to train 9 fellows to deliver the next generation of talented life scientists the program will be a combination of training in research in personal and professional development and in open science achieved by conducting research projects attending courses and benefiting from internal mobility within tame the research training is based on cuttingedge technologies and advanced models for medical research emphasizing the need for more humanbased research genderpersonalised models and reduction in the use of animals consequently through intense collaboration with all partners and the relevant industrial experience these 9 fellows can anticipate improved career prospects and higher employability tame will provide an innovationfriendly framework in which scientific results can mature and be developed into products
exposure to electromagnetic fields and planetary health

the ongoing introduction of new telecommunication technologies 5g now 6g next comes with changes in exposure patterns and of biological interaction with humans and ecosystems eg the coming mmwave technology will lead to higher dose in human skin and eyes and higher absorption in small bodies like insects it is unclear if these changes are accompanied by adverse effects and what it means for current exposure limit regulationetain aims to develop and validate approaches to assess the impact of existing and novel communication technology from a planetary health perspective while exploring options for exposure reduction and interacting with the public and stakeholders about exposure levels and possible associated risks following a citizen science paradigm we will develop an app able to quantify personal absorbed rfemf the app data allows to calculate realistic personal and population dose distributions including rfemf maps and it will ensure a communication strategy matching knowledge needs of citizens and stakeholders insights into own exposure and its major contributors will empower citizens to manage their rfemf exposure also etain will develop and validate network architecture approaches for an alara by design approachetain will elucidate underlying mechanisms of biological effects in humans and the environment we will focus on human skin and eyes as relevant biological targets of 5g and beyond and a systems biology approach to evaluate possible effects additional efforts focus on insect biodiversity and fitness especially pollinators at risk of peak exposures close to strong antennas such as bees from a planetary health perspective rfemf effects on insects may also have indirect effects on human health and the economy eg via pollination etain is expected to generate scientific evidence of rfemf exposure effects on human ecosystem and planetary health feeding into policies and current regulatory frameworksproject etain is part of the european cluster on emfs and health
ieyescreen a realworld aibased infrastructure for screening and prediction of progression in agerelated macular degeneration amd providing accessible shared care

the aim of ieyescreen is to develop an artificial intelligence aibased diagnostic decision support system for screening and monitoring of agerelated macular degeneration amd at an early stage before vision loss occurs late amd is the leading cause of legal blindness 50 years with 110 mio individuals at risk the multidisciplinary consortium brings together a network of clinical retina experts computer scientists working at the cutting edge of ai development an infrastructure of communitybased opticiansoptometrists and an sme experienced in digital platform performance to develop innovative and trustworthy ai tools for broad realtime amd screening and monitoring via a cloudbased infrastructure with unlimited access to achieve the ambitious goal of finding the needle in the haystack in early amd optical coherence tomography oct a highresolution effortless imaging modality is used providing a detailed characterization of the retina in extensive volumetric scans breakthrough ai approaches for medical imaging will be developed to enable dataefficient and robust learning from sparse longitudinal oct data to systematically analyse dense data volumes and identify subclinical markers of disease activity clinical sites throughout europe will collect a longitudinal cohort serving for calibrating and finetuning algorithms using the highend oct device available at eye clinics innovative ai technology will then be created to transfer the detection and monitoring tools to lowcost devices used in next door opticiansoptometrists offices the timing of the project perfectly fits the recent regulatory approval of the first therapy to halt progression of the major atrophic type of amd the resulting aibased shared care strategy offers unrestricted accessibility to visionmaintaining care with greatest health equity and provides a role model for screening for systemic cardiovascular and neurodegenerative disease reflecting retinal biomarkers
testing for the universal mind using probabilistic inference

is the human mind an evolutionary oneoff or does it reflect a universal mind in which similar cognitive mechanisms repeatedly evolve via convergent evolution avian cognition offers a powerful model system for answering this fundamental question about the nature of our mind because birds last shared a common ancestor with humans 312 million years ago and have evolved brains with a very different structure however to unlock the potential of this model system we need to robustly test whether mechanistic convergence has occurred between the minds of birds and humans the convergent mind hypothesis and rule out cognitive similarities between birds and humans due to shared ancestry the ancestral mind hypothesis uni prob takes advantage of decades of research on probabilistic inference a central but imperfect aspect of human cognition to overcome these challenges to test for mechanistic convergence uni prob will use the cognitive biases and errors humans show in their probabilistic inferences eg the conjunction fallacy base rate neglect and the hot hand fallacy as diagnostic signatures for the presence of a similar cognitive system in a species demonstrating the best performances on probabilistic inference tasks of any animal tested to date the kea parrot to test for shared ancestry uni prob will present novel nonverbal probabilistic inference problems not only to humans and kea but also to a phylogenetic control for shared ancestry rats if convergent evolution has occurred then only humans and kea will solve these problems while showing the same cognitive biases and errors by testing for the convergent evolution of this cognitive system uni prob can generate conclusive evidence that probabilistic biases are adaptive features of the human mind and discover if there is a new frontier in cognitive science namely a universal mind that evolves repeatedly via convergent evolution
efficient and rapidly scalable euwide evidencedriven pandemic response plans through dynamic epidemic data assimilation

pandemics have the potential to disrupt our daily lives and to affect every part of society sarscov2 causing covid19 disease painfully showed how responding too late in a fragmented mannar andor with too little coordination across different sectors and countries led to huge human and economic costs escapes main objective is to improve efficiency and scalability of early pandemic response plans by providing evidencebased guidelines standardised research protocols retrospective insights and digital solutions that will support scientists in producing and integrating evidence and inform public health authorities in taking decisions to avert or reduce disease and societal burden the project will provide knowledge and tools that will enhance europes preparedness for a pandemic of pathogen x these include a sciencebased blueprint for faster and better decisionmaking in managing pandemics tools and frameworks to improve data availability collection and sharing as well as advanced analytics and models to understand and project transmission dynamics of pathogen x under candidate response scenarios escape will also identify determinants of success and failure in managing pathogen x based on the sarscov2 pandemic helping to develop effective response strategies for future pandemics in addition the project will contribute to fostering a multistakeholder intelligent community allowing improved knowledge sharing and cooperation between policymakers the scientific community the media and the public ensuring a much more effective response to future pandemics in the longterm by improving pandemic preparedness and the effectiveness of response to a pandemic of pathogen x the project will contribute to reducing health burden and potential negative societal and economic consequences during pandemics as well as increase the confidence of policy makers and the public in sciencebased solutions
algorithmic auditing for music discoverability

the evolution of online platforms over the past decades has radically transformed the way people discover music and nowadays thanks to social media and music streaming services listeners have access to an everincreasing amount of tracks and artists within these platforms one of the goals of recommender systems rss is to help users discover music without making them feel overwhelmed while exploring the huge catalogues available however rss have come under scrutiny from the scientific community policymakers and civil society due to their potential negative societal impact notably with regard to issues of fairness nondiscrimination inclusion and diversity algorithmic auditing has emerged as a tool to analyse the problematic behaviours exhibited by rss and to offer remedies that can limit their negative impact the aa4md project aims to advance this area of research by crafting auditing techniques tailored specifically for music rss the objective of the project is to demonstrate how the involvement of endusers in the auditing process can contribute to the recognition analysis and mitigation of problematic behaviours which may arise while discovering music the focus will be on highlighting how rss by influencing the discoverability of music can impact listeners exposure to culturally diverse content in essence aa4md will provide 1 qualitative and quantitative insights into how users experience problematic behaviours of rss when discovering music 2 a webbased auditing tool that enables largescale audits developed following humancentred design practices and 3 recommendations for policymakers to enhance the discoverability of culturally diverse content on online platforms ultimately the aa4md project seeks to contribute to addressing the challenges posed by music rss problematic behaviours and to foster a more inclusive and diverse environment for music discovery within the digital landscape