We live in the Age of Big Data. In medicine, artificial intelligence and machine learning algorithms, fueled by big data, promise to change how physicians make diagnoses, determine prognoses, and develop new treatments. An exponential rise in articles on these topics is seen in the medical literature. Recent applications range from the use of deep learning neural networks to diagnose diabetic retinopathy and skin cancer from image databases, to the use of various machine learning algorithms for prognostication in cancer and (...) cardiovascular disease. Many factors are driving the adoption of AI in health care, from... (shrink)

I thought the paper by Kai-yee Wong and Chris Fraser was fascinating and insightful. Two things I especially appreciated are the clarity with which they summarize my views. I think they are quite fair and accurate. Second, I appreciate their suggestion that the way to deal with the practical problem of weakness of will has much to do with the role of the Background in shaping our actions. I think they are especially on the right track when they say that (...) the improvement of Background skills may actually narrow the range of real options for action, (p. 21) nonetheless, they do not decrease freedom. As they say, “It is a process of strengthening the self, and the agent is likely to experience the concomitant restriction of ‘live’ options not as a limitation but as strength of character.” (p. 21). That seems to me very much on the right track. What they are suggesting, and it is a powerful addition to my own writings, is that we should not just think of the Background as facilitating languages, games and social practices generally, but for morality as well (p. 23). (shrink)

The history of economic thought witnessed several prominent economists who took seriously models and concepts in physics for the elucidation and prediction of economic phenomena. Econophysics is an emerging discipline at the intersection of heterodox economics and the physics of complex systems, with practitioners typically engaged in two overlapping but distinct methodological programs. The first is to export mathematical methods used in physics for the purposes of studying economic phenomena. The second is to export mechanisms in physics into economics. A (...) conclusion is drawn that physics transfer is often justified at the level of mathematical transfer but unjustified at the level of mechanistic transfer. (shrink)

From a rebellious young woman with a dangerous heroin habit to a globe-trotting fashion model to “First Lady of Yoga” (The New York Times), Colleen Saidman Yee tells the remarkable story of how she found herself through the healing power of yoga—and then inspired others to do the same. I’ve learned how to extract the beauty of an ordinary day. I’ve learned that the best high exists in the joy—or the sadness—of the present moment. Yoga allows me to surf the (...) ripples and sit with the mud, while catching glimpses of the clarity of my home at the bottom of the lake: my true self. The very first time Saidman Yee took a yoga class, she left feeling inexplicably different—something inside had shifted. She felt alive—so alive that yoga became the center of her life, helping her come to terms with her insecurities and find her true identity and voice. From learning to cope with a frightening seizure disorder to navigating marriages and divorces to becoming a mother, finding the right life partner, and grieving a beloved parent, Saidman Yee has been through it all—and has found that yoga holds the answers to life’s greatest challenges. Approachable, sympathetic, funny, and candid, Saidman Yee shares personal anecdotes along with her compassionate insights and practical instructions for applying yoga to everyday issues and anxieties. Specific yoga sequences accompany each chapter and address everything from hormonal mood swings to detoxing, depression, stress, and increased confidence and energy. Step-by-step instructions and photographs demonstrate her signature flow of poses so you can follow them effortlessly. Yoga for Life offers techniques to bring awareness to every part of your physical and spiritual being, allowing you to feel truly alive and to embody the peace of the present moment. (shrink)

Over the last few years, automatic facial micro-expression analysis has garnered increasing attention from experts across different disciplines because of its potential applications in various fields such as clinical diagnosis, forensic investigation and security systems. Advances in computer algorithms and video acquisition technology have rendered machine analysis of facial micro-expressions possible today, in contrast to decades ago when it was primarily the domain of psychiatrists where analysis was largely manual. Indeed, although the study of facial micro-expressions is a well-established field (...) in psychology, it is still relatively new from the computational perspective with many interesting problems. In this survey, we present a comprehensive review of state-of-the-art databases and methods for micro-expressions spotting and recognition. Individual stages involved in the automation of these tasks are also described and reviewed at length. In addition, we also deliberate on the challenges and future directions in this growing field of automatic facial micro-expression analysis. (shrink)

There remains no consensus among social scientists as to how to measure and understand forms of information deprivation such as misinformation. Machine learning and statistical analyses of information deprivation typically contain problematic operationalizations which are too often biased towards epistemic elites' conceptions that can undermine their empirical adequacy. A mature science of information deprivation should include considerable citizen involvement that is sensitive to the value-ladenness of information quality and that doing so may improve the predictive and explanatory power of extant (...) models. (shrink)

Naturalistic theories of disease appeal to concepts of biological function, and use the notion of dysfunction as the basis of their definitions. Debates in the philosophy of biology demonstrate how attributing functions in organisms and establishing the function-dysfunction distinction is by no means straightforward. This problematization of functional ascription has undermined naturalistic theories and led some authors to abandon the concept of dysfunction, favoring instead definitions based in normative criteria or phenomenological approaches. Although this work has enhanced our understanding of (...) disease and illness, we need not necessarily abandon naturalistic concepts of function and dysfunction in the disease debate. This article attempts to move towards a new naturalistic theory of disease that overcomes the limitations of previous definitions and offers advantages in the clinical setting. Our approach involves a re-evaluation of concepts of biological function employed by naturalistic theories. Drawing on recent insights from the philosophy of biology, we develop a contextual and evaluative account of function that is better suited to clinical medicine and remains consistent with contemporary naturalism. We also show how an updated naturalistic view shares important affinities with normativist and phenomenological positions, suggesting a possibility for consilience in the disease debate. (shrink)

As a doxastic voluntarist, I am of the view that what I believe stems from what I want. This does not mean that I believe what I want when I want. It does not mean that in desiring to believe that p, I can bring about the belief that p—just like that. This is not what doxastic voluntarism is about. It must, however, be noted that this is the very conception opponents of the doctrine hold. Doxastic involuntarists maintain that voluntarism (...) is based on this idea of "belief by fiat," where the relation between desiring and believing is close and unmediated—where a subject S's desire to believe that p directly effects the belief that p in S. It is on this misconception that charges of irrationality and incoherence are based. (shrink)

In his denial that language refers to anything but itself and in his undoing representation, Joyce anticipates contemporary developments in the history of critical theory. Contrary to modern criticism, Joyce does not abandon representation, the idea that language affords access to reality.

Francis Ysidro Edgeworth’s unduly neglected monograph New and Old Methods of Ethics (1877) advances a highly sophisticated and mathematized account of social well-being in the utilitarian tradition of his 19th-century contemporaries. This article illustrates how his usage of the ‘calculus of variations’ was combined with findings from empirical psychology and economic theory to construct a consequentialist axiological framework. A conclusion is drawn that Edgeworth is a methodological predecessor to several important methods, ideas, and issues that continue to be discussed in (...) contemporary social well-being studies. (shrink)

“Actionability” is a key concept in precision oncology. Its precise definition, however, remains contested. This article undertakes a philosophical analysis of “actionability” to aid in conceptual clarification. We map distinct concepts of actionability, arguing that each is best understood as a contextually objective category articulated to mitigate risk of “conceptual slippage.” We defend “interactive pluralism,” acknowledging the need for distinct concepts but also for conceptual interaction in practice. This article thus offers insights for both practitioners and philosophers, clarifying approaches to (...) actionability for scientists and clinicians and serving as a case study to test competing views on scientific pluralism. (shrink)

This study investigates the interaction effects of two business strategies (differentiation and low cost) and human resource (HR) management (HRM) practices (recruitment and selection, training and development, compensation, performance management, employment security and work–life balance) on employee outcomes (organizational commitment, turnover intention, employee involvement and job satisfaction). These relationships are further analyzed on the extent of differences between public and private limited companies in Malaysia. Structural equation modelling (SEM) is used to examine the effect of the three variables and the (...) invariance effect of the two types of companies. The results show that HRM practices mediate the interaction of business strategy and employee outcomes. Furthermore, the effects of business strategy and HRM practices on employee outcomes in public limited companies are only slightly different from the ones implemented in private limited companies. Specifically, the moderation analysis shows invariance between differentiation strategy and variance in low-cost strategy. (shrink)

This article presents a selective review of recent design PhDs that identify and analyse the methodological innovation that is occurring in the field, in order to inform future provision of research training. Six recently completed design PhDs are used to highlight possible philosophical and practical models that can be adopted by future PhD students in design. Four characteristics were found in design PhD methodology: innovations in the format and structure of the thesis, a pick-and-mix approach to research design, situating practice (...) in the inquiry, and the validation of visual analysis. The article concludes by offering suggestions on how research training can be improved. By being aware of recent methodological innovations in the field, design educators will be better informed when developing resources for future design doctoral candidates and assisting supervision teams in developing a more informed and flexible approach to practice-based research. (shrink)

Tumor necrosis is a common histological feature and poor prognostic predictor in various cancers. Despite its significant clinical implications, the mechanism underlying tumor necrosis remains largely unclear due to lack of appropriate pre‐clinical modeling. We propose that tumor necrosis is a synergistic consequence of metabolic stress and inflammation, which lead to oxidative stress‐induced cell death, such as ferroptosis. As a natural consequence of tumor expansion, tumor cells are inevitably stripped of vascular supply, resulting in deprivation of oxygen and nutrients. The (...) resulting metabolic stress has commonly been considered the cause of tumor necrosis. Recent studies found that immune cells, such as neutrophils, when recruited to tumors, can directly trigger ferroptosis in tumor cells, suggesting that immune cells can be involved in amplifying tumor necrosis. This article will discuss potential mechanisms underlying tumor necrosis development and its impact on tumor progression as well as the immune response to tumors. (shrink)

Minimal residual disease (MRD), a measure of residual cancer cells, is a concept increasingly employed in precision oncology, touted as a key predictive biomarker to guide treatment decisions. This paper critically analyzes the expanding role of MRD as a predictive biomarker in hematologic cancers. I outline the argument for MRD as a predictive biomarker, articulating its premises and the empirical conditions that must hold for them to be true. I show how these conditions, while met in paradigmatic cases of MRD (...) use in cancer, may not hold across other cancers where MRD is currently being applied, weakening the argument that MRD serves as an effective predictive biomarker across cancer medicine. (shrink)

There have recently been novel applications of medical systematic review guidelines to economic policy interventions which contain controversial methodological assumptions that require further scrutiny. A landmark 2017 Cochrane review of unconditional cash transfer (UCT) studies, based on the Grading of Recommendations Assessment, Development and Evaluation (GRADE), exemplifies both the possibilities and limitations of applying medical systematic review guidelines to UCT and universal basic income (UBI) studies. Recognizing the need to upgrade GRADE to incorporate the differences between medical and policy interventions, (...) the GRADE Public Health Project Group (PHPG) was convened to enumerate and address these methodological challenges. However, in light of our analysis of additional methodological challenges that arise for UCT and UBI studies, we argue that the adaptation of medical systematic review guidelines to economic methodology is far from straightforward and is in fact more challenging than claimed by the PHPG. (shrink)

The COVID-19 global pandemic has stretched the capacities of public health institutions and health systems around the world, opening the door to a range of technologically-driven solutions. In this article, we seek to historicize the expanding role of digital health technologies and examine the political-economic context from which they have emerged. Drawing on critical insights from science and technology studies, we maintain that the rise of digital health technologies has been catalyzed by broad shifts in global health governance that have (...) expanded the role of market forces in public health and a unique set of political and economic crises that have accelerated the adoption of digital technologies—often under the guise of appeals to technological innovation to address “unprecedented” crises. These interrelated historical trends, we contend, are critical for understanding current state responses to the pandemic and possibilities for more equitable and democratic applications of technology in public health. (shrink)

Current methods of operationalizing concepts of misinformation in machine learning are often problematic given idiosyncrasies in their success conditions compared to other models employed in the natural and social sciences. The intrinsic value-ladenness of misinformation and the dynamic relationship between citizens' and social scientists' concepts of misinformation jointly suggest that both the construct legitimacy and the construct validity of these models needs to be assessed via more democratic criteria than has previously been recognized.

Cancer has garnered increasing interest among philosophers. This chapter focuses on cancer medicine and precision oncology, an influential approach to cancer which seeks to individualize treatment on the basis of genetic or molecular features of disease. It reviews a range of ontological, epistemic, and ethical questions raised by precision oncology, relating developments in cancer medicine to broader issues in the philosophy of science and medicine.

In my paper, I argue that a first-person perspective (the perspective of a patient/recipient of an action) pertaining to response analysis is significant in Confucianism given the deeply personal nature of Confucianism. It matters whether oneself or others is the patient of an action because Confucianism as a virtue theory emphasizes self-reflection and reflexivity of one’s response in self-cultivation. Moreover, as an account of role-ethics, Confucianism calls attention to one’s particular relationship with others—one reacts differently in kind, not just in (...) degrees, depending on whether one’s or others’ family is at risk. I also appeal to Thomas Nagel’s framework of objectivity vs subjectivity to help elucidate the Confucian position on the value of an individual’s particular perspective, distinguishing the person who is the patient from other people. Finally, I revisit the mirror and the one body analogy discussed by Shun and highlight their point of impartiality rather than objectivity as implied by Shun. (shrink)

In “Potential Subjects’ Responses to an Ethics Questionnaire in a Phase I Study of Deep-Brain Stimulation in Early Parkinson’s Disease,” Finder, Bliton, Gill, Davis, Konrad, and Charles undertake informed consent research on what they describe as a Phase I trial of deep brain stimulation (DBS) for Parkinson’s disease. We argue that the authors should have more carefully characterized the nature of the DBS study at the start of their clinical study.

ABSTRACT: Generalizations in medical research can be informative, but also misleading. Building on recent work in the philosophy of science and ethics of communication, I offer a novel analysis of common generalizations in clinical trials as generics in natural language. Generics, which express generalizations without terms of quantification, have attracted considerable attention from philosophers, psychologists, and linguists. My analysis draws on probabilistic and contextual features of generics to diagnose how these generalizations function and malfunction across communicative contexts in medicine. Given (...) a high risk of misinterpretation ("slippage"), I recommend avoidance of generic claims about medical interventions in public contexts, exemplified by clinical trials and medical research more generally. Generics should only be used with vigilance in private contexts, exemplified by the physician–patient encounter. My analysis provides tools to support vigilance when communicating with generics, suggests new norms for public science communication, and raises deeper questions in the ethics of clinical communication. (shrink)