Delving into the Latest Updates on Georgetown University in Qatar with Synapse

Overview

Tags

Neoplasms

Other Diseases

Small molecule drug

Diagnostic radiopharmaceuticals

Disease domain score

A glimpse into the focused therapeutic areas

Technology Platform

Most used technologies in drug development

Targets

Most frequently developed targets

Disease Domain	Count

Neoplasms	1

Top 5 Drug Type	Count

Small molecule drug	2
Diagnostic radiopharmaceuticals	1

Top 5 Target	Count

CHRNA7(Neuronal acetylcholine receptor protein alpha-7 subunit)	1
HDACs(Histone deacetylase)	1

Abstract“Functional finance” is an economic theory within the Post Keynesian school of thought. Especially in the form of Modern Monetary Theory (MMT), it has begun to have two big but opposite effects on the debate over Universal Basic Income (UBI). Some people state MMT in an exaggerated way that implies the government can spend all it wants on UBI or anything else without ever raising taxes or borrowing money as if government spending had no limits of any kind. Other people refer to MMT while arguing that any effort to maintain a livable level of UBI is unsustainable. This article discusses the functional finance implications for the cost and sustainability of UBI, arguing that neither of those exaggerated implications are correct. MMT doesn’t free us for the concern for how to support UBI with taxes, but neither does it give reason to believe UBI is any less sustainable.

21 Mar 2024·Applied Economics

Does the extent of branchless banking adoption enhance the social and financial performance of microfinance institutions?

Author: Mohamed, Toka S. ; Elgammal, Mohammed M.

01 Jan 2023·Frontiers in artificial intelligence

Humanizing AI in medical training: ethical framework for responsible design.

Article

Author: Nurmatov, Shokhrukhbek ; Gafurov, Mukhammadjon ; Aslonov, Begali ; Tahri Sqalli, Mohammed

The increasing use of artificial intelligence (AI) in healthcare has brought about numerous ethical considerations that push for reflection. Humanizing AI in medical training is crucial to ensure that the design and deployment of its algorithms align with ethical principles and promote equitable healthcare outcomes for both medical practitioners trainees and patients. This perspective article provides an ethical framework for responsibly designing AI systems in medical training, drawing on our own past research in the fields of electrocardiogram interpretation training and e-health wearable devices. The article proposes five pillars of responsible design: transparency, fairness and justice, safety and wellbeing, accountability, and collaboration. The transparency pillar highlights the crucial role of maintaining the explainabilty of AI algorithms, while the fairness and justice pillar emphasizes on addressing biases in healthcare data and designing models that prioritize equitable medical training outcomes. The safety and wellbeing pillar however, emphasizes on the need to prioritize patient safety and wellbeing in AI model design whether it is for training or simulation purposes, and the accountability pillar calls for establishing clear lines of responsibility and liability for AI-derived decisions. Finally, the collaboration pillar emphasizes interdisciplinary collaboration among stakeholders, including physicians, data scientists, patients, and educators. The proposed framework thus provides a practical guide for designing and deploying AI in medicine generally, and in medical training specifically in a responsible and ethical manner.

100 Deals associated with Georgetown University in Qatar

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100 Translational Medicine associated with Georgetown University in Qatar

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Pipeline

Pipeline Snapshot as of 07 Nov 2024

The statistics for drugs in the Pipeline is the current organization and its subsidiaries are counted as organizations,Early Phase 1 is incorporated into Phase 1, Phase 1/2 is incorporated into phase 2, and phase 2/3 is incorporated into phase 3

Preclinical

1

Phase 1 Clinical

Other

3

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Current Projects

Drug(Targets)	Indications	Global Highest Phase

[18F]ASEM ( CHRNA7 )	Diagnostic agents More	Phase 1
KYAN-001 ( HDACs )	Neoplasms More	Preclinical
LE-AON ( CRAF )	Pancreatic Cancer More	Discontinued
VMY-2-109 ( nAChRα3&β4 x nAChRα4&β2 )	Tobacco Use Disorder More	Pending
YL-1-127 ( nAChRα4&β2 )	Central Nervous System Diseases More	Pending